Publications dans HAL

Alyssa Imbert, Nathalie Vialaneix, Julien Marquis, Julie Vion, Aline Charpagne, et al.. Network analyses reveal negative link between changes in adipose tissue GDF15 and BMI during dietary-induced weight loss. Journal of Clinical Endocrinology and Metabolism, Endocrine Society, 2022, 107 (1), pp.e130-e142. ⟨10.1210/clinem/dgab621⟩. ⟨hal-03540946⟩

Celine Brouard, Jérôme J. Mariette, Rémi Flamary, Nathalie Vialaneix. Feature selection for kernel methods in systems biology. NAR Genomics and Bioinformatics, Oxford University Press, 2022, 4 (1), ⟨10.1093/nargab/lqac014⟩. ⟨hal-03601435⟩

Gaëlle Lefort, Laurence Liaubet, Nathalie Marty-Gasset, Cécile Canlet, Nathalie Vialaneix, et al.. Joint automatic metabolite identification and quantification of a set of 1H NMR spectra. Analytical Chemistry, American Chemical Society, 2021, 93 (5), pp.2861-2870. ⟨10.1021/acs.analchem.0c04232⟩. ⟨hal-03224485⟩

Nathanaël Randriamihamison, Nathalie Vialaneix, Pierre Neuvial. Applicability and interpretability of Ward's hierarchical agglomerative clustering with or without contiguity constraints. Journal of Classification, Springer Verlag, 2021, 38, pp.363-389. ⟨10.1007/s00357-020-09377-y⟩. ⟨hal-02294847v2⟩

Maria Marti-Marimon, Nathalie Vialaneix, yvette Lahbib Mansais, Matthias Zytnicki, Sylvie Camut, et al.. Major reorganization of chromosome conformation during muscle development in pig. Frontiers in Genetics, Frontiers, 2021, 12, pp.19 P. ⟨10.3389/fgene.2021.748239⟩. ⟨hal-03367056⟩

Gaëlle Lefort, Rémi Servien, Hélène Quesnel, yvon Billon, Laurianne L. Canario, et al.. The maturity in fetal pigs using a multi-fluid metabolomic approach. Scientific Reports, Nature Publishing Group, 2020, 10, pp.19912. ⟨10.1038/s41598-020-76709-8⟩. ⟨hal-03034560⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Patrick Tardivel, Marie-Christine Pere, et al.. ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra. Bioinformatics, Oxford University Press (OUP), 2019, 35 (21), pp.4356-4363. ⟨10.1093/bioinformatics/btz248⟩. ⟨hal-02626125⟩

Victor Picheny, Rémi Servien, Nathalie Vialaneix. Interpretable sparse SIR for functional data. Statistics and Computing, Springer Verlag (Germany), 2019, 29 (2), pp.255 - 267. ⟨10.1007/s11222-018-9806-6⟩. ⟨hal-02618466⟩

Sylvie S. Chastant-Maillard, Claire Saby, Wenting Zhang, René Fournier, Rémi Servien, et al.. Reprise atypique de la cyclicité ovarienne chez la vache laitière : une forte association avec la cétose. Point Vétérinaire, Wolters Kluwer France, 2019, 393. ⟨hal-02617694⟩

Sylvain Foissac, Sarah Djebali, Kylie Munyard, Nathalie Vialaneix, Andrea Rau, et al.. Multi-species annotation of transcriptome and chromatin structure in domesticated animals. BMC Biology, BioMed Central, 2019, 17 (1), 25 p. ⟨10.1186/s12915-019-0726-5⟩. ⟨hal-02437599⟩

Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. Algorithms for Molecular Biology, BioMed Central, 2019, 14, pp.22. ⟨10.1186/s13015-019-0157-4⟩. ⟨hal-02006331v2⟩

Maria Marti-Marimon, Nathalie Vialaneix, Valentin Voillet, Martine Bouissou-Matet, yvette Lahbib Mansais, et al.. A new approach of gene co-expression network inference reveals significant biological processes involved in porcine muscle development in late gestation. Scientific Reports, Nature Publishing Group, 2018, 8, ⟨10.1038/s41598-018-28173-8⟩. ⟨hal-02622725⟩

Alyssa Imbert, Armand Valsesia, Caroline Le Gall, Claudia Armenise, Gregory Lefebvre, et al.. Multiple hot-deck imputation for network inference from RNA sequencing data. Bioinformatics, Oxford University Press (OUP), 2018, 34 (10), pp.1726 - 1732. ⟨10.1093/bioinformatics/btx819⟩. ⟨hal-01794575⟩

Alyssa Imbert, Nathalie Vialaneix. Décrire, prendre en compte, imputer et évaluer les valeurs manquantes dans les études statistiques : une revue des approches existantes. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2018, 159 (2), pp.1-55. ⟨hal-02618033⟩

Sanjeena Dang, Nathalie Vialaneix. Cutting edge bioinformatics and biostatistics approaches are bringing precision medicine and nutrition to a new era. Lifestyle Genomics, 2018, 11 (2), pp.73-76. ⟨10.1159/000494131⟩. ⟨hal-02624369⟩

Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie N. Villa-Vialaneix. Self-Organizing Maps, theory and applications. Revista de Investigacion Operacional, 2018, 39 (1), pp.1-22. ⟨hal-01796059⟩

Jérôme J. Mariette, Nathalie Vialaneix. Unsupervised multiple kernel learning for heterogeneous data integration. Bioinformatics, Oxford University Press (OUP), 2018, 34 (6), pp.1009-1015. ⟨10.1093/bioinformatics/btx682⟩. ⟨hal-01738461⟩

Samir Dou, Nathalie Villa-Vialaneix, Laurence Liaubet, yvon Billon, Mario Giorgi, et al.. (NMR)-N-1H-Based metabolomic profiling method to develop plasma biomarkers for sensitivity to chronic heat stress in growing pigs. PLoS ONE, Public Library of Science, 2017, 12 (11), Non paginé. ⟨10.1371/journal.pone.0188469⟩. ⟨hal-02626025⟩

Jennifer Bolton, Emilie Montastier, Jérôme Carayol, Sophie Bonnel, Lucile Mir, et al.. Molecular biomarkers for weight control in obese individuals subjected to a multiphase dietary intervention. Journal of Clinical Endocrinology and Metabolism, Endocrine Society, 2017, 102 (8), pp.2751-2761. ⟨10.1210/jc.2016-3997⟩. ⟨hal-01608397⟩

Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Vialaneix. Random Forests for Big Data. Big Data Research, Elsevier, 2017, 9, pp.28-46. ⟨10.1016/j.bdr.2017.07.003⟩. ⟨hal-01233923v2⟩

Jérôme J. Mariette, Madalina Olteanu, Nathalie Vialaneix. Efficient interpretable variants of online SOM for large dissimilarity data. Neurocomputing, Elsevier, 2017, 225, pp.31-48. ⟨10.1016/j.neucom.2016.11.014⟩. ⟨hal-01465340⟩

Elena Terenina, Valérie Sautron, Caroline ydier, Darya Bazovkina, Amélie Sevin-Pujol, et al.. Time course study of the response to LPS targeting the pig immune gene networks. BMC Genomics, BioMed Central, 2017, 18, ⟨10.1186/s12864-017-4363-5⟩. ⟨hal-02627295⟩

Avner Bar-Hen, Hubert Javaux, Nathalie N. Villa-Vialaneix. Analyse statistique des profils et de l’activité des participants d’un MOOC. Revue Internationale des Technologies en Pédagogie Universitaire, Conférence des recteurs et principaux des universités du Québec [CREPUQ], 2016, 12 (1-2), pp.11-22. ⟨hal-02630053⟩

Nathalie Vialaneix, Noslen Hernández, Alain Paris, Céline Domange, Nathalie Priymenko, et al.. On combining wavelets expansion and sparse linear models for Regression on metabolomic data and biomarker selection. Communications in Statistics - Simulation and Computation, Taylor & Francis, 2016, 45 (1), pp.282-298. ⟨10.1080/03610918.2013.862273⟩. ⟨hal-01270963⟩

Noslen Hernández, Rolando Biscay, Nathalie Vialaneix, Isneri Talavera. A non parametric approach for calibration with functional data. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2015, 22 (4), pp.1547-1566. ⟨10.5705/ss.2013.242⟩. ⟨hal-01199287⟩

Avner Bar-Hen, Hubert Javaux, Nathalie N. Villa-Vialaneix. Statistical Analysis of the profiles and of the activity of participants of MOOC. Revue Internationale des Technologies en Pédagogie Universitaire, Conférence des recteurs et principaux des universités du Québec [CREPUQ], 2015, 12 (1-2), pp.11-22. ⟨10.18162/ritpu-2015-v12n12-03⟩. ⟨hal-02636153⟩

Nathalie Vialaneix, Anne Ruiz-Gazen. Beyond multidimensional data in model visualization: High-dimensional and complex nonnumeric data: high-dimension and complex non numeric data. Statistical Analysis and Data Mining, 2015, 8 (4), pp.232-239. ⟨10.1002/sam.11274⟩. ⟨hal-01182932⟩

Madalina Olteanu, Nathalie Vialaneix. On-line relational and multiple relational SOM. Neurocomputing, Elsevier, 2015, 147, pp.15-30. ⟨10.1016/j.neucom.2013.11.047⟩. ⟨hal-01063831⟩

Emilie Montastier, Nathalie N. Villa-Vialaneix, Sylvie Caspar-Bauguil, Petr Hlavaty, Eva Tvrzicka, et al.. System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance. PLoS Computational Biology, Public Library of Science, 2015, 11 (1), pp.e1004047. ⟨10.1371/journal.pcbi.1004047⟩. ⟨inserm-02150615⟩

Madalina Olteanu, Nathalie Vialaneix. Using SOMbrero for clustering and visualizing graphs. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2015, 156 (3), pp.95-119. ⟨hal-01232672⟩

Valérie Sautron, Elena Terenina, Laure Gress, yannick Lippi, yvon Billon, et al.. Time course of the response to ACTH in pig: biological and transcriptomic study. BMC Genomics, BioMed Central, 2015, 16 (961), pp.PMC4650497. ⟨10.1186/s12864-015-2118-8⟩. ⟨hal-01271063⟩

Avner Bar-Hen, Hubert Javaux, Nathalie Vialaneix. Analyse statistique des profils et de l’activité des participants d’un MOOC. Revue Internationale des Technologies en Pédagogie Universitaire, Conférence des recteurs et principaux des universités du Québec [CREPUQ], 2015, 12 (1-2), pp.11-22. ⟨hal-01270885⟩

Magali San Cristobal, Marie-Pierre Sanchez, Marie‐josé Mercat, Florian Rohart, Laurence Liaubet, et al.. Le metabolome, un moyen pour trouver de nouveaux biomarqueurs ?. La revue française de la recherche en viandes et produits carnés, AB CORP INTERNATIONAL, 2014, Février, pp.1-5. ⟨hal-01222422⟩

Nathalie N. Villa-Vialaneix, Matthieu Vignes, Nathalie Viguerie, Magali San Cristobal. Inferring networks from multiple samples with consensus LASSO. Quality technology & quantitative management, ICAQM, 2014, 11 (1), pp.39-60. ⟨hal-02641674⟩

Nathalie Villa-Vialaneix, Christophe Sibertin-Blanc, Pascal Roggero. Statistical exploratory analysis of agent-based simulations in a social context. Case Studies in Business, Industry and Government Statistics, Société Française de Statistique, 2014, 5 (2), pp.132-149. ⟨hal-02629776v2⟩

Fabrice Rossi, Nathalie Vialaneix, Florent Hautefeuille. Exploration of a large database of French notarial acts with social network methods. Digital Medievalist, University of Lethbridge, 2014, 9, pp.2013. ⟨hal-01053673⟩

Nathalie Villa-Vialaneix, Matthieu Vignes, Nathalie Viguerie, Magali San Cristobal. Inferring networks from multiple samples with Consensus LASSO. Quality technology & quantitative management, ICAQM, 2014, 11 (1), pp.39-60. ⟨hal-00971458⟩

Fabrice Rossi, Nathalie N. Villa-Vialaneix, Florent Hautefeuille. Exploration of a large database of French notarial acts with social network methods. Digital Medievalist, University of Lethbridge, 2013, 9. ⟨hal-02648351⟩

Nathalie Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Pierre Cherel, Adrien Gamot, et al.. The Structure of a Gene Co-Expression Network Reveals Biological Functions Underlying eQTLs. PLoS ONE, Public Library of Science, 2013, pp.e60045. ⟨hal-00817655⟩

Nathalie Villa-Vialaneix. J'ai testé pour vous... un MOOC. Statistique et Enseignement, Société Française de Statistique, 2013, 4 (2), pp.3-17. ⟨hal-00940787⟩

Nathalie N. Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Pierre Cherel, Adrien Gamot, et al.. The Structure of a Gene Co-Expression Network Reveals Biological Functions Underlying eQTLs. PLoS ONE, Public Library of Science, 2013, 8, online (4), Non paginé. ⟨10.1371/journal.pone.0060045⟩. ⟨hal-02646005⟩

Nathalie Villa-Vialaneix, Bertrand Jouve, Fabrice Rossi, Florent Hautefeuille. Spatial correlation in bipartite networks. Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2013, pp.97-110. ⟨hal-00761081⟩

Nathalie Viguerie, Emilie Montastier, Jean-José Maoret, Balbine Roussel, Marion Combes, et al.. Determinants of human adipose tissue gene expression: impact of diet, sex, metabolic status, and cis genetic regulation.. PLoS Genetics, Public Library of Science, 2012, 8 (9), pp.e1002959. ⟨10.1371/journal.pgen.1002959⟩. ⟨hal-00757837⟩

Nathalie Villa-Vialaneix, Marco Follador, Marco Ratto, Adrian Leip. A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops. Environmental Modelling and Software, Elsevier, 2012, 34, pp.51-66. ⟨10.1016/j.envsoft.2011.05.003⟩. ⟨hal-00654753⟩

Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix. Neural Networks for Complex Data. KI - Künstliche Intelligenz, Springer Nature, 2012, 26 (4), pp.373-380. ⟨10.1007/s13218-012-0207-2⟩. ⟨hal-00744929⟩

F. Rohart, Alain Paris, Béatrice Laurent, Cécile Canlet, Jerome Molina, et al.. Phenotypic prediction based on metabolomic data on the growing pig from three main European breeds.. Journal of Animal Science, American Society of Animal Science, 2012, 90 (13), epub ahead of print. ⟨10.2527/jas.2012-5338⟩. ⟨hal-00757827⟩

Fabrice Rossi, Nathalie Villa-Vialaneix. Consistency of functional learning methods based on derivatives. Pattern Recognition Letters, Elsevier, 2011, 32 (8), pp.1197-1209. ⟨10.1016/j.patrec.2011.03.001⟩. ⟨hal-00589738⟩

Nathalie Villa-Vialaneix, Laurence Liaubet, Magali San Cristobal. What is a good (gene) network?. Journal of Animal Breeding and Genetics, Wiley, 2011, 128 (1), pp.1-2. ⟨10.1111/j.1439-0388.2010.00916.x⟩. ⟨hal-00658814⟩

Fabrice Rossi, Nathalie Villa-Vialaneix. Représentation d'un grand réseau à partir d'une classification hiérarchique de ses sommets. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (3), pp.34-65. ⟨hal-00651577⟩

Thibault Laurent, Nathalie Villa-Vialaneix. Using spatial indexes for labeled network analysis. Revue I3 - Information Interaction Intelligence, Cépaduès, 2011, 11 (1), pp.1. ⟨hal-00654754⟩

Nathalie Villa-Vialaneix, Taoufiq Dkaki, Sébastien Gadat, Jean-Michel Inglebert, Quoc-Dinh Truong. Recherche et représentation de communautés dans un grand graphe. Une approche combinée. Document Numérique, Lavoisier, 2011, 14 (1), pp.59-80. ⟨10.3166/dn.14.1.59-80⟩. ⟨hal-00590612⟩

Noslen Hernandez, Rolando Biscay, Nathalie Villa-Vialaneix, Isneri Talavera. A Simulation Study of Functional Density-Based Inverse Regression. Revista Investigacion Operacional, 2011, 32 (2), pp.146-159. ⟨hal-00654751⟩

Fabrice Rossi, Nathalie Villa-Vialaneix. Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach. Neurocomputing, Elsevier, 2010, 73 (7-9), pp.Pages 1142-1163. ⟨10.1016/j.neucom.2009.11.023⟩. ⟨hal-00515892⟩

Romain Boulet, Bertrand Jouve, Fabrice Rossi, Nathalie Villa. Batch kernel SOM and related Laplacian methods for social network analysis. Neurocomputing, Elsevier, 2008, 71 (7-9), pp.1257-1273. ⟨10.1016/j.neucom.2007.12.026⟩. ⟨hal-00202339⟩

Nathalie Villa, Martin Paegelow, Maria T. Camacho Olmedo, Laurence Cornez, Frédéric Ferraty, et al.. Various Approaches for Predicting Land Cover in Mountain Areas. Communications in Statistics - Simulation and Computation, Taylor & Francis, 2007, 36 (1), pp.73-86. ⟨10.1080/03610910601096379⟩. ⟨hal-00144147⟩

Anne Ruiz-Gazen, Nathalie Villa. Storms prediction : Logistic regression vs random forest for unbalanced data. Case Studies in Business, Industry and Government Statistics, Société Française de Statistique, 2007, 1 (2), pp.91-101. ⟨hal-00270176⟩

Fabrice Rossi, Nathalie Villa. Support vector machine for functional data classification. Neurocomputing, Elsevier, 2006, 69 (7-9), pp.730-742. ⟨10.1016/j.neucom.2005.12.010⟩. ⟨hal-00144141⟩

Louis Ferré, Nathalie Villa. Multilayer Perceptron with Functional Inputs: an Inverse Regression Approach. Scandinavian Journal of Statistics, Wiley, 2006, 33 (4), pp.807-823. ⟨10.1111/j.1467-9469.2006.00496.x⟩. ⟨hal-00144144⟩

Nathalie Villa, Fabrice Rossi. Un résultat de consistance pour des SVM fonctionnels par interpolation spline. Comptes rendus de l'Académie des sciences. Série I, Mathématique, Elsevier, 2006, 343 (8), pp.555-560. ⟨10.1016/j.crma.2006.09.025⟩. ⟨hal-00144142⟩

Martin Paegelow, Nathalie Villa, Laurence Cornez, Frédéric Ferraty, Louis Ferré, et al.. Modélisations prospectives de l'occupation du sol. Le cas d'une montagne méditerranéenne. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2004, 295, 15 p. ⟨hal-00144134v2⟩

Martin Paegelow, Nathalie Villa, Laurence Cornez, Frédéric Ferraty, Louis Ferré, et al.. Modélisation prospective de l’occupation du sol. Le cas d’une montagne méditerrannéenne.. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2004, 21 p. en ligne. ⟨hal-03160711⟩

Louis Ferré, Nathalie Villa. Discrimination de courbes par régression inverse fonctionnelle. Revue de Statistique Appliquée, Société française de statistique, 2004, LIII (1), pp.39-57. ⟨hal-00144140⟩

Rémi Servien, Nathalie Vialaneix. Sélection d'intervalles pour des prédicteurs fonctionnels à partir de forêts aléatoires. Journées de Statistique de la SFdS, Jun 2022, Lyon, France. ⟨hal-03697845⟩

Élise Maigné, Céline Noirot, Jérôme Mariette, Yaa Adu Kesewaah, Sébastien Déjean, et al.. ASTERICS: A Tool for the ExploRation and Integration of omiCS data. Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM 2022), Inria; INRAE, Jun 2022, Rennes, France. ⟨hal-03697843⟩

Florian Touitou, Flavie Tortereau, Nathalie Marty-Gasset, Nathalie Vialaneix, Gaëlle Lefort, et al.. Plasmatic and ruminal metabolomes of lambs divergently selected on residual feed intake. EAAP – European Federation of Animal Science 2021, Aug 2021, Davos, Switzerland. ⟨hal-03547250⟩

Nathanaël Randriamihamison, Marie Chavent, Sylvain Foissac, Nathalie Vialaneix, Pierre Neuvial. Analyse différentielle de données Hi-C via la Classification Ascendante Hiérarchique sous Contrainte de Contiguïté. 52èmes Journées de Statistiques de la SFdS, Société Française de Statistique, May 2020, Nice, France. pp.655-660. ⟨hal-02892664⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Nathalie Villa, Rémi Servien. ASICS: identification and quantification of metabolites in complex 1H NMR spectra. European RFMF Metabomeeting 2020, Jan 2020, Toulouse, France. ⟨hal-02737383⟩

Sarah Djebali Quelen, Sylvain Foissac, Nathalie Vialaneix, Kylie Munyard, Andrea Rau, et al.. Chromatin accessibility conservation across four livestock species. Conference of the International Society for Animal Genetics (ISAG 2019), Jul 2019, Llieda, Spain. ⟨hal-02788732⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Nathalie Vialaneix, Rémi Servien. ASICS : identifier et quantifier des métabolites à partir d'un spectre RMN 1H. 51. Journées de Statistique de la SFdS, Société Française de Statistique (SFdS). FRA., Jun 2019, Nancy, France. ⟨hal-02737497⟩

Jérôme J. Mariette, Celine Brouard, Remi Flamary, Nathalie Vialaneix. Unsupervised variable selection for kernel methods in systems biology. Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France. ⟨hal-02787253⟩

yvette Lahbib Mansais, Maria Marti-Marimon, Nathalie Vialaneix, Sylvain Foissac, Martine Bouissou-Matet, et al.. Organisation nucléaire et expression génique lors du développement chez le porc. 5. Journée d'Animation Scientifique du réseau épiPhase, Jun 2019, Toulouse, France. 35 p. ⟨hal-02736301⟩

Nathanaël Randriamihamison, Pierre Neuvial, Nathalie Vialaneix. Classification ascendante hiérarchique, contrainte d'ordre : conditions d'applicabilité, interprétabilité des dendrogrammes. 51èmes Journées de Statistique de la SFdS, Jun 2019, Nancy, France. ⟨hal-02734011⟩

Sylvain Foissac, Sarah Djebali, Kylie Munyard, Nathalie Vialaneix, Andrea Rau, et al.. Functional annotation of livestock genomes: chromatin structure and regulation of gene expression. ASAS/ASDS Midwest Joint Meeting, Mar 2019, Omaha, United States. ⟨10.1093/jas/skz122.028⟩. ⟨hal-02735898⟩

Sylvain Foissac, Sarah Djebali Quelen, Nathalie Vialaneix, Matthias Zytnicki, Andrea Rau, et al.. Multi-level conservation of chromosome conformation across livestock species reveals evolutionary links between genome structure and function. Conference of the International Society for Animal Genetics (ISAG 2019), Jul 2019, Lleida, Spain. ⟨hal-02788476⟩

Nathalie Vialaneix. Learning from (dis)similarity data. European R Users Meeting (eRum 2018), May 2019, Budapest, Hungary. 70 p. ⟨hal-02785273⟩

Alyssa Imbert, Nathalie Villa-Vialaneix. RNAseqNet : un package pour l'inférence de réseaux à partir de données RNA-seq. 7ème Rencontres R, Jul 2018, Rennes, France. ⟨hal-02791466⟩

Maria Marti-Marimon, Nathalie Villa-Vialaneix, Valentin Voillet, Martine yerle-Bouissou, Laurence Liaubet, et al.. An innovative method of gene co expression network inference reveals significant biological processes involved in fetal porcine muscle development. 23rd International Colloquium on Animal Cytogenetics and Genomics, Jun 2018, Saint Petersburg, Russia. pp.2. ⟨hal-02734342⟩

Alyssa Imbert, Armand Valsesia, Claudia Armenise, Gregory Lefebvre, Pierre-Antoine Gourraud, et al.. Multiple hot-deck imputation for network inference from RNA sequencing data. European Conference on Computational Biology (ECCB 2018), Sep 2018, Athènes, Greece. ⟨hal-02788524⟩

Gaëlle Lefort, Laurence Liaubet, Patrick Tardivel, Cécile Canlet, Marie A Tremblay-Franco, et al.. Using ASICS to quantify metabolites in 1D 1H NMR spectra: an application to perinatal survival in pigs. Journée des Plateformes BioInfo et BioStat du Génotoul, Jan 2018, Toulouse, France. ⟨hal-02788399⟩

Christophe Ambroise, Alia Dehman, Michel Koskas, Pierre Neuvial, Guillem Rigaill, et al.. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Dec 2018, Toulouse, France. ⟨hal-02788245⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Nathalie Villa-Vialaneix, Rémi Servien. ASICS : un package R pour l'identification et la quantification de métabolites dans un spectre RMN 1H. 7ème Rencontres R, Jul 2018, Rennes, France. ⟨hal-02791362⟩

Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix. Random forests for big data. Data Science, Statistics & Visualization (DSSV) 2018, Jul 2018, Vienne, Austria. ⟨hal-02787208⟩

Nathalie Villa-Vialaneix. Stochastic Self-Organizing Map variants with the R package SOMbrero. 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Jun 2017, Nancy, France. 7 p., ⟨10.1109/WSOM.2017.8020014⟩. ⟨hal-01605663⟩

Jérôme J. Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Villa-Vialaneix. Accelerating stochastic kernel SOM. XXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 6 p. ⟨hal-02734663⟩

Maria Eugenia Marti Marimon, Hervé Acloque, Matthias Zytnicki, David Robelin, Sarah Djebali Quelen, et al.. Characterization of 3D genomic interactions in fetal pig muscle. 36. International Society for Animal Genetics Conference (ISAG), Jul 2017, Dublin, Ireland. pp.43. ⟨hal-02868765⟩

Jérôme J. Mariette, Fabrice Rossi, Madalina Olteanu, Nathalie Vialaneix. Accelerating stochastic kernel SOM. XXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. pp.269-274. ⟨hal-01516660⟩

Claire Saby, Wenting Zhang, René Fournier, Rémi Servien, Nathalie Villa-Vialaneix, et al.. Progesterone and betahydroxybutyrate in line measurements for a better description and understanding of Holstein cows fertility in field conditions. 8th European Conference on Precision Livestock Farming (EC-PLF), Sep 2017, Nantes, France. 7 p. ⟨hal-01607267⟩

Jérôme J. Mariette, Nathalie Villa-Vialaneix. Unsupervised multiple kernel learning to integrate various metagenomic sources. 4ème colloque de Génomique Environnementale, Sep 2017, Marseille, France. ⟨hal-01604708⟩

Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix. Random forests for big data. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, Londres, United Kingdom. ⟨hal-02785199⟩

Madalina Olteanu, Nathalie Villa-Vialaneix. Using SOMbrero for clustering and visualizing complex data. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2016, Séville, Spain. ⟨hal-01604379⟩

Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Nathalie Vialaneix. Theoretical and applied aspects of the self-organizing maps. WSOM 2016, Jan 2016, Houston, TX, United States. pp.3-26, ⟨10.1007/978-3-319-28518-4_1⟩. ⟨hal-01270701⟩

Rémi Servien, Victor Picheny, Nathalie N. Villa-Vialaneix. Interval sparsity for functional inverse regression. 2016 CRoNoS Summer Course, 22nd International Conference on Computational Statistics (COMPSTAT), Aug 2016, Oviedo, Spain. ⟨hal-02799603⟩

Jérôme J. Mariette, Nathalie Vialaneix. Aggregating Self-Organizing Maps with Topology Preservation. WSOM 2016, Jan 2016, Houston, TX, United States. pp.27-37, ⟨10.1007/978-3-319-28518-4_2⟩. ⟨hal-01270640⟩

yvette Lahbib Mansais, Maria Marti-Marimon, Valentin Voillet, Harmonie Barasc, Florence Mompart, et al.. 3D nuclear positioning of IGF2 alleles and trans interactions with imprinted genes. 35. Conference of the International Society for Animal Genetics (ISAG), Jul 2016, Salt Lake City, United States. ⟨hal-02742818⟩

Alyssa Imbert, Nathalie N. Villa-Vialaneix. Outils pour l'analyse et la simulation de données RNA-seq. Cinquièmes Rencontres R 2016, Jun 2016, Toulouse, France. 2 p. ⟨hal-02739876⟩

Nathalie N. Villa-Vialaneix, Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot. Random forests for big data. Journées de Statistique de Rennes (JSTAR), Oct 2016, Rennes, France. ⟨hal-02796431⟩

Valérie Sautron, Marie Chavent, Nathalie Viguerie, Nathalie N. Villa-Vialaneix. Multiway-SIR for longitudinal multi-table data integration. 22nd International Conference on Computational Statistics (COMPSTAT), Aug 2016, Oviedo, Spain. pp.1. ⟨hal-02796270⟩

Victor Picheny, Rémi Servien, Nathalie Vialaneix. Parcimonie par intervalle pour la régression inverse par tranche fonctionnelle. 48e Journées de Statistique de la SFdS, May 2016, Montpellier, France. pp.6. ⟨hal-01325538⟩

Madalina Olteanu, Nathalie Vialaneix. Using SOMbrero for clustering and visualizing complex data. CMStatistics, Dec 2016, Seville, Spain. ⟨hal-01519707⟩

Madalina Olteanu, Nathalie Vialaneix. Sparse online self-organizing maps for large relational data. WSOM 2016, Jan 2016, Houston, TX, United States. pp.27-37, ⟨10.1007/978-3-319-28518-4_6⟩. ⟨hal-01270710⟩

Nathalie N. Villa-Vialaneix, Christophe Bontemps, Sébastien Dejean. Outils pour chercher de l'information sur R et se former. Cinquièmes Rencontres R 2016, Jun 2016, Toulouse, France. ⟨hal-02743654⟩

Jérôme J. Mariette, Helene H. Chiapello, Nathalie N. Villa-Vialaneix. Integrating Tara oceans data sets using multiple kernels. 15th European Conference on Computational Biology (ECCB 2016), Workshop "Recent Computational Advances in Metagenomics (RCAM)", Sep 2016, The Hague, Netherlands. pp.3. ⟨hal-02792439⟩

yvette Lahbib Mansais, Maria Marti-Marimon, Valentin Voillet, Harmonie Barasc, Florence Mompart, et al.. 3D nuclear positioning of IGF2 alleles and trans interactions with imprinted genes in pig fetal cells. 22. International Colloquim on Animal Cytogenetics and Genomics (ICACG), Jul 2016, Toulouse, France. 116 p. ⟨hal-02743243⟩

Victor Picheny, Rémi Servien, Nathalie N. Villa-Vialaneix. Interpretable sparse sliced inverse regression for functional data. Workshop Learning with Functional Data, Oct 2016, Lille, France. ⟨hal-02799481⟩

Nathalie Vialaneix, Christophe Bontemps, Sébastien Dejean. Outils pour chercher de l'information sur R et se former. Rencontres R 2016, Jun 2016, Toulouse, France. ⟨hal-01352178⟩

Alyssa Imbert, Caroline Le Gall, Claudia Armenise, Gregory Lefebvre, Jorg Hager, et al.. Imputation de données manquantes pour l'inférence de r éseau à partir de données RNA-seq. 48e Journées de la Société Française de Statistique, May 2016, Montpellier, France. ⟨hal-01325523⟩

Nathalie N. Villa-Vialaneix. What is a MOOC?. 15th Annual Conference of ENBIS, Sep 2015, Prague, Czech Republic. ⟨hal-02792063⟩

Philippe Besse, Nathalie Villa-Vialaneix, Anne Ruiz-Gazen. Enseigner la statistique pour l'analyse de mégadonnées. 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France. ⟨hal-01160638⟩

Philippe Besse, Nathalie N. Villa-Vialaneix, Anne Ruiz-Gazen. Enseigner la statistique pour l'analyse de mégadonnées. 47ème Journées de Statistique de la SFdS, Société Française de Statistique (SFdS). FRA., Jun 2015, Lille, France. ⟨hal-02742204⟩

Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix. Random forests and big data. 47ème Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01160643⟩

Madalina Olteanu, Nathalie N. Villa-Vialaneix. Classification et visualisation de graphes avec SOMbrero. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. pp.2. ⟨hal-02795287⟩

Nathalie Vialaneix, Madalina Olteanu. Multiple dissimilarity SOM for clustering and visualizing graphs with node and edge attributes. International Conference on Machine Learning, Workshop FEAST, Jul 2015, Lille, France. 1p. ⟨hal-01175731⟩

Madalina Olteanu, Nathalie Villa-Vialaneix. Classification et visualisation de graphes avec SOMbrero. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. ⟨hal-01171557⟩

Victor Picheny, Jimmy Vandel, Matthieu Vignes, Nathalie Villa-Vialaneix. Reconstruction quality of a biological network when its constituting elements are partially observed. Seventeenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2014), Apr 2014, Reykjavik, Iceland. pp.L014. ⟨hal-00982758⟩

Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie N. Villa-Vialaneix. SOMbrero: an R package for numeric and non-numeric self-organizing maps. WSOM 2014, Jul 2014, Mittweida, Germany. ⟨10.1007/978-3-319-07695-9_21⟩. ⟨hal-02743631⟩

Emilie Montastier, Nathalie N. Villa-Vialaneix, Ignacio González, Sylvie Caspar-Bauguil, Wim H.M. Saris, et al.. Adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance using lipidome and gene profiling network analysis. Bioinformatics/Biostatistics regional workshop, Jun 2014, Toulouse, France. 2 p. ⟨hal-02797111⟩

Madalina Olteanu, Nathalie N. Villa-Vialaneix. Self-organizing maps for clustering and visualization of bipartite graphs. 46e Journées de la Société Française de Statistique, Jun 2014, Rennes, France. pp.109. ⟨hal-02739820⟩

Nathalie Vialaneix. J'ai testé pour vous... un MOOC. Journées de Statistique de la SFdS, Jun 2014, Rennes, France. pp.90. ⟨hal-01001759⟩

Christophe Sibertin-Blanc, Nathalie Vialaneix. Data analysis of social simulations outputs: Interpreting the dispersion of variables. 15th International Workshop on Multi-Agent-Based Simulation (MBAS 2014 @ AAMAS), May 2014, Paris, France. pp.133-150, ⟨10.1007/978-3-319-14627-0_10⟩. ⟨hal-01270802⟩

Nathalie Vialaneix, Matthieu Vignes, Nathalie Viguerie, Magali San Cristobal. Inferring networks from multiple samples with consensus LASSO. ENBIS Spring Meeting, Apr 2014, Paris, France. ⟨hal-02793667⟩

Valérie Sautron, Elena Mormede Terenina, Pierre Mormède, Nathalie N. Villa-Vialaneix. Genetics systems of stress responses in pigs. Bioinformatics/Biostatistics regional workshop, Jun 2014, Toulouse, France. ⟨hal-02793146⟩

Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie Vialaneix. SOMbrero: an R package for numeric and non-numeric Self-Organizing Maps. 10th International Workshop, WSOM 2014, Jul 2014, Mittweida, Germany. pp.219-228. ⟨hal-01018732⟩

Elodie Merlot, Armelle Prunier, Marie Damon, Florence Vignoles, Nathalie Villa-Vialaneix, et al.. Blood transcriptome response to LPS in pigs. 65. Annual Meeting of the European Federation of Animal Science (EAAP), Aug 2014, Copenhague, Denmark. pp.274. ⟨hal-01210717⟩

Madalina Olteanu, Nathalie Vialaneix. Self-Organizing Maps for clustering and visualization of bipartite graphs. 46e Journées de Statistique de la SFdS, Jun 2014, Rennes, France. pp.109. ⟨hal-01001991⟩

Christophe Sibertin-Blanc, Nathalie Vialaneix. Data Analysis of Social Simulations Outputs - Focus on variables dispersion. Workshop on Multi-Agent-Based Simulation, May 2014, Paris, France. Paper session 3, paper 2. ⟨hal-00990219⟩

Nathalie N. Villa-Vialaneix. J'ai testé pour vous... un MOOC. 46e Journées de la Société Française de Statistique, Société Française de Statistique (SFdS). FRA., Jun 2014, Rennes, France. ⟨hal-02740506⟩

Jérôme J. Mariette, Madalina Olteanu, Julien Boelaert, Nathalie Vialaneix. Bagged kernel SOM. 10th International Workshop, WSOM 2014, Hochschule Esslingen University of Applied Sciences. DEU., Jul 2014, Mittweida, Germany. pp.45-54, ⟨10.1007/978-3-319-07695-9⟩. ⟨hal-01018374⟩

Nathalie Villa-Vialaneix, Magali San Cristobal. Consensus LASSO : inférence conjointe de réseaux de gènes dans des conditions expérimentales multiples. 45èmes Journées de Statistique de la SFdS, May 2013, Toulouse, France. ⟨hal-00829157⟩

Laura Bendhaiba, Madalina Olteanu, Nathalie Villa-Vialaneix. SOMbrero : Cartes auto-organisatrices stochastiques pour l'intégration de données décrites par des tableaux de dissimilarités. 2èmes Rencontres R, Jun 2013, Lyon, France. pp.99-100. ⟨hal-00850514⟩

Damien Leroux, Nathalie Villa-Vialaneix. sexy-rgtk: a package for programming RGtk2 GUI in a user-friendly manner. 2èmes Rencontres R, Jun 2013, Lyon, France. pp.103-104. ⟨hal-00850516⟩

Madalina Olteanu, Nathalie N. Villa-Vialaneix, Christine Cierco-Ayrolles. Multiple kernel self-organizing maps. 21. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. ⟨hal-02747111⟩

Madalina Olteanu, Nathalie Villa-Vialaneix, Christine Cierco-Ayrolles. Multiple kernel self-organizing maps. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.83. ⟨hal-00817920⟩

Sébastien Massoni, Madalina Olteanu, Nathalie N. Villa-Vialaneix. Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study. International Workshop on Artificial Neural Networks, Jun 2013, Puerto de la Cruz, Tenerife, Spain. ⟨hal-02806089⟩

Nathalie N. Villa-Vialaneix, Madalina Olteanu, Christine Cierco-Ayrolles. Carte auto-organisatrice pour graphes étiquetés. Atelier Fouilles de Grands Graphes - EGC, Jan 2013, Toulouse, France. ⟨hal-02807496⟩

Nathalie Villa-Vialaneix, Madalina Olteanu, Christine Cierco-Ayrolles. Carte auto-organisatrice pour graphes étiquetés.. Atelier Fouilles de Grands Graphes (FGG) - EGC'2013, Jan 2013, Toulouse, France. pp.Article numéro 4. ⟨hal-00783860⟩

Florian Brunet, Jérôme J. Mariette, Christine Cierco-Ayrolles, Christine Gaspin, Philippe Bardou, et al.. Classification non supervisée d'un graphe de co-expression avec des méta-données pour la détection de micro-ARNs. MARAMI (Modèles et l'Analyse des Réseaux : Approches Mathématiques et Informatiques) 2013, Oct 2013, Saint-Étienne, France. pp.SI-1. ⟨hal-00877561⟩

Sébastien Massoni, Madalina Olteanu, Nathalie Villa-Vialaneix. Which dissimilarity is to be used when extracting typologies in sequence analysis? A comparative study. IWANN 2013, Jun 2013, Puerto de la Cruz, Tenerife, Spain. session 12-1A, paper 2. ⟨hal-00854302⟩

Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell. On-line relational SOM for dissimilarity data. WSOM 2012, Dec 2012, Santiago, Chile. pp.13-22. ⟨hal-00768948⟩

Magali San Cristobal, Simon Boitard, Maria Inès Fariello Rico, Hélène Gilbert, Laurence Liaubet, et al.. Genetic and phenotypic fine characterizations of French porcine reference populations. ISAG, Jul 2012, Cairns, Australia. pp.1. ⟨hal-01019125⟩

Nathalie Villa-Vialaneix, Nicolas A. Edwards, Laurence Liaubet, Nathalie Viguerie, Magali San Cristobal. Comparison of network inference packages and methods for multiple network inference. 1ères Rencontres R, Jul 2012, Bordeaux, France. pp.93-94. ⟨hal-00714444⟩

Nathalie Villa-Vialaneix, Fabrice Rossi, Florent Hautefeuille. Exploration relationnelle d'un corpus d'actes notariés médiévaux. Colloque Configuration(s), Jun 2012, Paris, France. ⟨hal-00721403⟩

Nathalie Villa-Vialaneix, Nicolas A. Edwards, Laurence Liaubet, Nathalie Viguerie, Magali San Cristobal. Comparison of network inference packages and methods for multiple network inference. 1ères Rencontres R, Jul 2012, Bordeaux, France. ⟨hal-00717549⟩

Thibault Laurent, Nathalie Villa-Vialaneix. Analyse de données pour des graphes étiquetés. 44èmes Journées de Statistique, May 2012, Bruxelles, Belgique. pp.196. ⟨hal-00707779⟩

Magali San Cristobal, Simon S. Boitard, Marcel M. Bouffaud, Cécile Canlet, Leonor L. Chaltiel, et al.. Diversité et biologie intégrative : des pistes à explorer pour combler le gap entre diversité génétique et diversité phénotypique. COLLOQUE FRB : Les Ressources Génétiques (RG) face aux nouveaux enjeux environnementaux, économiques et sociétaux, Sep 2011, Montpellier, France. ⟨hal-01000087⟩

Fabrice Rossi, Nathalie Villa-Vialaneix, Florent Hautefeuille. Exploration of a Large Database of French Charters with Social Network Methods. International Medieval Congress (IMC 2011), Jul 2011, Leeds, United Kingdom. ⟨hal-00668229⟩

Nathalie Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Adrien Gamot, Pierre Cherel, et al.. L'analyse d'un réseau de co-expression génique met en valeur des groupes fonctionnels homogènes et des gènes importants relatifs a un phénotype d'intérêt. Journées de la Société Française de Statistique, May 2011, Tunis, Tunisie. pp.172. ⟨hal-00666613⟩

Adrian Leip, Marco Follador, Stefano Tarantola, Mirko Busto, Nathalie Villa-Vialaneix. Sensitivity of the process-based model DNDC on microbiological parameters. Nitrogen and Global Change - Key findings & Future challenges, Apr 2011, Edinburgh, United Kingdom. pp.S10. ⟨hal-00674167⟩

Florian Rohart, Nathalie Villa-Vialaneix, Alain Paris, Cécile Canlet, J. Molina, et al.. Phenotypic prediction based on metabolomic data : lasso vs Bolasso, primary data vs wavelet transformation. World Congress on Genetics Applied to Livestock Production, Aug 2010, Leipzig, Germany. pp.3-55. ⟨hal-00658819⟩

Nathalie Villa-Vialaneix, Marco Follador, Adrian Leip. A comparison of three learning methods to predict N2O fluxes and N leaching. Modèles et Apprentissage en Sciences Humaines et Sociales, Jun 2010, Lille, France. pp.57-66. ⟨hal-00491583⟩

Nathalie Villa-Vialaneix, Fabrice Rossi. Classification and regression based on derivatives : a consistency result. II Simposio sobre Modelamiento Estadístico, Dec 2010, Valparaiso, Chile. ⟨hal-00668212⟩

Laurence Liaubet, Nathalie Villa-Vialaneix, Adrien Gamot, Fabrice Rossi, Pierre Cherel, et al.. The structure of a gene network reveals 7 biological sub-graphs underlying eQTLs in pig. World Congress on Genetics Applied to Livestock Production, Aug 2010, Leipzig, Germany. pp.0147. ⟨hal-00666597⟩

Noslen Hernandez, Rolando Biscay, Nathalie Villa-Vialaneix, Isneri Talavera. A functional density-based nonparametric approach for statistical calibration. 15th Iberoamerican Congress on Pattern Recognition (CIARP 2010), Nov 2010, Sao Paulo, Brazil. pp.450-457, ⟨10.1007/978-3-642-16687-7_60⟩. ⟨hal-00658811⟩

Thibault Laurent, Nathalie Villa-Vialaneix. Analysis of the influence of a network on the values of its nodes : the use of spatial indexes.. Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique, Oct 2010, Toulouse, France. pp.Session 1 - 1. ⟨hal-00668202⟩

Nathalie Villa, Fabrice Rossi. Méthode de classification organisée pour la recherche de communautés dans les réseaux sociaux. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386797⟩

Adrien Gamot, Nathalie Villa, Laurence Liaubet, Fabrice Rossi, Gwenola Tosser-Klopp, et al.. Are gene networks always meaningful?. European Animal Disease Genomics Network of Excellence for Animal Health and Food Safety (EADGENE Days 2009), Oct 2009, Paris, France. ⟨hal-00668239⟩

Nathalie Villa, Taoufiq Dkaki, Sébastien Gadat, Jean-Michel Inglebert, Quoc-Dinh Truong. Recherche et représentation de communautés dans des grands graphes. Veille Stratégique Scientifique & Technologique, Mar 2009, Nancy, France. Recherche et représentation de communautés dans des grands graphes. ⟨hal-00371956⟩

Fabrice Rossi, Nathalie Villa-Vialaneix. Topologically Ordered Graph Clustering via Deterministic Annealing. European Symposium on Artificial Neural Networks, Apr 2009, Bruges, Belgium. pp.529-534. ⟨hal-00666602⟩

Adrien Gamot, Nathalie Villa, Laurence Liaubet, F. Rossi, Gwenola Tosser-Klopp, et al.. Are gene networks always meaningful ?. EADGENE Genomics for Animal Health: Outlook for the Future, Oct 2009, Paris, France. ⟨hal-02816128⟩

Fabrice Rossi, Nathalie Villa-Vialaneix. Consistency of Derivative Based Functional Classifiers on Sampled Data. ESANN 2008, 16th European Symposium on Artificial Neural Networks, Apr 2008, Bruges, Belgium. pp.445-450. ⟨hal-00666609⟩

Nathalie Villa, Fabrice Rossi, Quoc-Dinh Truong. Mining a medieval social network by kernel SOM and related methods. MASHS 2008 (Modèles et Apprentissages en Sciences Humaines et Sociales), Jun 2008, Créteil, France. ⟨hal-00278196⟩

Nathalie Villa-Vialaneix, Fabrice Rossi. A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph. WSOM'07 - Workshop on Self-Organizing Maps, Sep 2007, Bielefeld, Germany. pp.WeP-1. ⟨hal-00674189⟩

Nathalie Villa, Romain Boulet. Clustering a medieval social network by SOM using a kernel based distance measure. European Symposium on Artificial Neural Networks, Apr 2007, Bruges, Belgium. pp.31-36. ⟨hal-00145117⟩

Romain Boulet, Florent Hautefeuille, Bertrand Jouve, Pascale Kuntz, Bleuenn Le Goffic, et al.. Sur l'analyse de réseaux de sociabilité de la société paysanne médiévale. Computational Methods for Modelling and learning in Social and Human Sciences (MASHS), May 2007, Brest, France. pp.3b-3. ⟨hal-00674238⟩

Roberto Bruno, Marco Follador, Martin Paegelow, Fernanda Renno, Nathalie Villa. Integrating Remote Sensing, GIS and Prediction Models to Monitor the Deforestation and Erosion in Peten Reserve, Guatemala. IAMG'2006 Annual Conference on Quantitative Geology from Multiple Sources, Sep 2006, Liège, Belgium. pp.Integrating Remote Sensing, GIS and Prediction Models to Monitor the Deforestation and Erosion in Pe. ⟨hal-00372648⟩

Arnaud Tête, Liana C. Arnaud, Hélène Le Mentec, Isabelle Gallais, Nathalie Poupin, et al.. Characterization of human isogenic epithelial cell lines as a relevant tool to study colon carcinogenesis and interaction between genes and environment. Society of Toxicology Annual Meeting (SOT 2022), Mar 2022, San Diego, United States. 3579, pp.P204. ⟨hal-03637792⟩

Arnaud Tête, Liana C. Arnaud, Hélène Le Mentec, Isabelle Gallais, Noémie Tournadre, et al.. Characterization of human isogenic epithelial cell lines as a relevant tool to study colon carcinogenesis and interaction between genes and environment. Congrès Annuel de la Société Française de Biochimie et Biologie Moléculaire, Jul 2021, Paris, France. ⟨hal-03279912⟩

Gaëlle Lefort, Laurence Liaubet, Nathalie Marty-Gasset, Cécile Canlet, Nathalie Vialaneix, et al.. Joint automatic metabolite identification and quantification of a set of 1H NMR spectra. Metabolomics 2020, Oct 2020, online, France. ⟨hal-02984360⟩

Gaëlle Lefort, Nathalie Vialaneix, Hélène Quesnel, Marie-Christine Pere, yvon Billon, et al.. Étude de la maturité des porcelets en fin de gestation par une approche métabolomique multifluide. 52. Journées de la Recherche Porcine, Feb 2020, Paris, France. IFIP - Institut du Porc, Journées de la Recherche Porcine en France, pp.411-412, 2020, 52èmes journées de la recherche porcine. ⟨hal-02479994⟩

Nathanaël Randriamihamison, Pierre Neuvial, Nathalie Vialaneix. Classification ascendante hiérarchique, contrainte d'ordre : conditions d'applicabilité, interprétabilité des dendrogrammes. Conférence sur l'Apprentissage Automatique (CAp 2019), Jul 2019, Toulouse, France. 2019. ⟨hal-02786174⟩

Gaëlle Lefort, Laurence Liaubet, Hélène Quesnel, Cécile Canlet, Nathalie Vialaneix, et al.. ASICS: identification and quantification of metabolites in complex 1D 1H NMR spectra. 15th Annual Conference of the Metabolomics Society (Metabolomics 2019), Jun 2019, La Haye, Netherlands. 2019. ⟨hal-02790207⟩

Gaëlle Lefort, Nathalie Vialaneix, Hélène Quesnel, Marie-Christine Pere, Nathalie Iannuccelli, et al.. Study of fetal pig maturity in relation with neonatal survival using a multi-fluids metabolomic approach. 15. Annual Conference of the Metabolomics Society (Metabolomics 2019), Jun 2019, La Haye, Netherlands. 2019. ⟨hal-02791588⟩

Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. Statistical Methods for Post Genomic Data (SMPGD 2019), Jan 2019, Barcelona, Spain. 2019. ⟨hal-02790995⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Hélène Quesnel, Nathalie Vialaneix, et al.. ASICS: a new R package for identification and quantification of metabolites in complex 1H NMR spectra. useR! 2019, Jul 2019, Toulouse, France. 2019. ⟨hal-02788659⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Nathalie Vialaneix, Rémi Servien. ASICS : un package R pour l'identification et la quantification de m\'etabolites dans un spectre RMN 1H. Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France. 2019. ⟨hal-02788670⟩

Gaëlle Lefort, Laurence Liaubet, Cécile Canlet, Nathalie Vialaneix, Rémi Servien. ASICS: a new R package for identification and quantification of metabolites in complex 1D 1H NMR spectra. European Conference on Computational Biology (ECCB 2018), Sep 2018, Athènes, Greece. 2018. ⟨hal-02789726⟩

Camille Mestre, Sarah Djebali Quelen, Thomas Faraut, Nathalie Vialaneix, Andrea Rau, et al.. Integrative analyses of chromosome conformation, chromatin accessibility and gene expression in human and livestock genomes. European Conference on Computational Biology (ECCB 2018), Sep 2018, Athènes, Greece. 2018. ⟨hal-02784857⟩

Samir Dou, Nathalie Villa-Vialaneix, Laurence Liaubet, Hélène Gilbert, Jean-Luc Gourdine, et al.. Developpement de biomarqueurs sanguins pour évaluer la sensibilité des porcs à la chaleur. Journées d'Animation Scientifique du département Phase (JAS Phase 2018), Apr 2018, Rennes, France. 2018, Journées d’animation scientifiques du département Phase - Recueil des résumés. ⟨hal-02736216⟩

Sylvain Foissac, Sarah Djebali Quelen, Hervé Acloque, Philippe Bardou, Fany Blanc, et al.. Profiling the landscape of transcription, chromatin accessibility and chromosome conformation of cattle, pig, chicken and goat genomes [FAANG pilot project]. 36th International Society for Animal Genetics Conference, Jul 2017, Dublin, Ireland. 2017, ISAG 2017 - Genomes to Phenomes - Abstract Book. ⟨hal-01608449⟩

Claire Saby, Wenting Zhang, René Fournier, Rémi Servien, Nathalie Villa-Vialaneix, et al.. Reprise de cyclicité post partum et performances de reproduction chez la vache laitière Prim'Holstein en France. Journées Nationales des GTV 2017, May 2017, Reims, France. 7 p., 2017, Recueil des Journées Nationales des GTV 2017. ⟨hal-01607513⟩

Sarah Djebali Quelen, Kylie Munyard, Nathalie Villa-Vialaneix, Cédric Cabau, Andrea Rau, et al.. Integrative and differential analysis of transcriptomes and chromatin accessibility regions reveals regulatory mechanisms involved in pig immune and metabolic functions. 36th International Society for Animal Genetics Conference, Jul 2017, Dublin, Ireland. 2017, ISAG 2017 - Genomes to Phenomes - Abstract Book. ⟨hal-01603033⟩

Maria Marti-Marimon, Hervé Acloque, Matthias Zytnicki, Sarah Djebali Quelen, Nathalie Villa-Vialaneix, et al.. Characterization of 3D genomic interactions in fetal pig muscle. 36th International Society for Animal Genetics Conference, Jul 2017, Dublin, Ireland. 2017, ISAG 2017 - Genomes to Phenomes - Abstract Book. ⟨hal-01608046⟩

yvette Lahbib Mansais, Maria Marti-Marimon, Valentin Voillet, Harmonie Barasc, Florence Mompart, et al.. 3D nuclear positioning of IGF2 alleles and trans interactions with imprinted genes in pig fetal cells. Conference on Genome Architecture in Space and Time, Jun 2016, Trieste, Italy. 2016. ⟨hal-02794242⟩

Valérie Sautron, Elena Mormede Terenina, Laure Gress, yannick Lippi, yvon y. Billon, et al.. Time course of the response to ACTH in pig: biological and transcriptomic study. 35. Conference of the International Society for Animal Genetics (ISAG), Jul 2016, Salt Lake City, United States. ASAS - American Society of Animal Science, 94 (S4), 2016, 35th Conference of the International Society for Animal Genetics (ISAG). ⟨hal-02740976⟩

Lily Paniagua, Adrian Leip, Nathalie N. Villa-Vialaneix, Wim de Vries. Estimating nitrous oxide fluxes from agricultural soils at European scale using a crop generic meta-model. 19th Nitrogen Workshop, Jun 2016, Skara, Sweden. 2016. ⟨hal-02796798⟩

Valérie Sautron, Marie Chavent, Nathalie Viguerie, Nathalie N. Villa-Vialaneix. Multiway SIR for biological data integration. Statistical Methods for Post Genomic Data, Feb 2016, Lille, France. 2016. ⟨hal-02791870⟩

Victor Picheny, Jimmy Vandel, Matthieu Vignes, Nathalie N. Villa-Vialaneix. Reconstruction quality of a biological network when its constituting elements are partially observed. 17th International Conference on Artificial Intelligence and Statistics - AI & Statistics 2014, Apr 2014, Reykjavik, Iceland. pp.1, 2014, AISTATS 2014 Talks and Papers. ⟨hal-02739296⟩

Jérôme J. Mariette, Madalina Olteanu, Nathalie Vialaneix. Kernel and dissimilarity methods for exploratory analysis in a social context. Advances in Contemporary Statistics and Econometrics. Festschrift in Honor of Christine Thomas-Agnan, 2021. ⟨hal-03279887⟩

Sandrine Laguerre, Ignacio González, Sebastien Nouaille, Annick Moisan, Nathalie Villa-Vialaneix, et al.. Large-Scale Measurement of mRNA Degradation in Escherichia coli: To Delay or Not to Delay. High-density sequencing applications in microbial molecular genetics, 612, ELSEVIER ACADEMIC PRESS INC, pp.47-66, 2018, Methods in Enzymology, 978-0-12-815993-4. ⟨10.1016/bs.mie.2018.07.003⟩. ⟨hal-02107623⟩

Nathalie Villa-Vialaneix, Stéphane Canu. Apprentissage connexionniste. Apprentissage Statistique et Données Massives, Editions Technip, pp.536, 2018, 9782710811824. ⟨hal-01849298⟩

Nathalie Villa-Vialaneix, Fabrice Rossi. Méthodes pour l’apprentissage de données massives. Apprentissage Statistique et Données Massives, Editions Technip, pp.536, 2018, 9782710811824. ⟨hal-01849297⟩

Nathalie Vialaneix, Laurence Liaubet, Magali San Cristobal. Depicting gene co-expression networks underlying eQTLs. Haja N. Kadarmideen. Systems Biology in Animal Production and Health vol 2, 2, Springer International Publishing, pp.1-31, 2016, 978-3-319-43330-1. ⟨10.1007/978-3-319-43332-5_1⟩. ⟨hal-01390589⟩

Martin Paegelow, Maria T. Camacho Olmedo, Frédéric Ferraty, Louis Ferré, Pascal Sarda, et al.. Prospective modelling of environmental dynamics. A methodological comparison applied to mountain land cover changes. Modelling Environmental Dynamics, Springer, pp.141-168, 2008, ⟨10.1007/978-3-540-68498-5_5⟩. ⟨hal-00667123⟩

Fabrice Rossi, Nathalie Villa. Recent advances in the use of SVM for functional data classification. Sophie Dabo-Niang, Frédéric Ferraty. Functional and operatorial statistics, Physica-Verlag/Springer, pp.273-280, 2008, Contrib. Statist., ⟨10.1007/978-3-7908-2062-1_41⟩. ⟨hal-00635480⟩

Marco Follador, Nathalie Villa, Martin Paegelow, Fernanda Renno, Roberto Bruno. Tropical deforestation modelling : a comparative analysis of different predictive approaches. The case study of Peten, Guatemala.. Modelling Environmental Dynamics, Springer, pp.77-108, 2008, ⟨10.1007/978-3-540-68498-5_3⟩. ⟨hal-00667122⟩

Nathalie Villa-Vialaneix, Laurence Liaubet, Thibault Laurent, Adrien Gamot, Pierre Cherel, et al.. L’analyse d’un réseau de co-expression génique met en valeur des groupes fonctionnels homogènes et des gènes importants relatifs à un phénotype d’intérêt. 43. Journées de Statistiques, May 2011, Tunis, Tunisie. Société Française de Statistiques, pp.1-6, 2011. ⟨hal-02806578⟩

Marie Cottrell, Madalina Olteanu, Juliette Rouchier, Nathalie Villa-Vialaneix. Éditorial du numéro spécial RNTI - MASHS 2011/2012 : Modèles et Apprentissage en Sciences Humaines et Sociales. 2013. ⟨hal-00761082⟩

Nathalie Villa-Vialaneix. Note de lecture : " Régression avec R " (P.-A. Cornillon et E. Matzner-Løber, 2011). 2013, pp.87-89. ⟨hal-00942821⟩

Nathalie Villa-Vialaneix. Note de lecture : " Méthodes de Monte-Carlo avec R " (Chr. P. Robert et G. Casella, 2011). 2012, pp.113-114. ⟨hal-00721409⟩

Imke Mayer, Aude Sportisse, Julie Josse, Nicholas Tierney, Nathalie Vialaneix. R-miss-tastic: a unified platform for missing values methods and workflows. 2019. ⟨hal-02879337v2⟩

Sylvain Foissac, Sarah Djebali, Kylie Munyard, Nathalie Vialaneix, Andrea Rau, et al.. Livestock genome annotation: transcriptome and chromatin structure profiling in cattle, goat, chicken and pig. 2018. ⟨hal-02791029⟩

Philippe Besse, Nathalie Vialaneix. Statistique et Big Data Analytics; Volumétrie, L'Attaque des Clones. 2014. ⟨hal-00995801v3⟩

Nathalie N. Villa-Vialaneix. Note de consultation : ``Analyse des données multidimensionnelles'' (MOOC, F. Husson et al., 2015). [Autre] 2015, pp.6. ⟨hal-02793538⟩

Jean-Luc Gourdine, Hélène Gilbert, Juliette Riquet, David Renaudeau, Jean Pierre Bidanel, et al.. Adaptation to heat in pig production : the genetic pathway: Pig Heat Tolerance. [Contract] ANR-12-ADAP-0015, INRA. 2012, pp.43. ⟨hal-01193706⟩

Nathalie Villa-Vialaneix. Contributions à l'analyse de données non vectorielles. Statistiques [math.ST]. Université de Toulouse, 2014. ⟨tel-01088152⟩

Nathalie Villa-Vialaneix. Contributions à l’analyse de données non vectorielles. Applications [stat.AP]. Université Toulouse 1 Capitole (UT1 Capitole), 2014. ⟨tel-01523743⟩

Nathalie Vialaneix, Alyssa Imbert. RNAseqNet: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation (R package, available on CRAN). 2018. ⟨hal-02788053⟩

Jérôme J. Mariette, Nathalie Vialaneix. mixKernel: Omics Data Integration Using Kernel Methods. 2017. ⟨hal-02791779⟩

Gaëlle Lefort, Rémi Servien, Patrick Tardivel, Nathalie Vialaneix. ASICS: Automatic Statistical Identification in Complex Spectra (R package, available on Bioconductor). 2017. ⟨hal-02790128⟩

Pierre Neuvial, Christophe Ambroise, Shubham Chaturvedi, Alia Dehman, Michel Koskas, et al.. adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix (R package, available on CRAN). 2017. ⟨hal-02791370⟩

Nathalie Vialaneix, Victor Picheny, Rémi Servien. SISIR: Sparse Interval Sliced Inverse Regression (R package, available on CRAN). 2016. ⟨hal-02794207⟩

Nathalie Vialaneix, Jérôme J. Mariette, Madalina Olteanu, Fabrice Rossi, Laura Bendhaiba, et al.. SOMbrero: SOM Bound to Realize Euclidean and Relational Outputs (R package, available on CRAN). 2015. ⟨hal-02794474⟩