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Number of documents

49


Theses1 document

  • Pierre Neuvial. Contributions to the statistical analysis of microarray data.. Life Sciences [q-bio]. Université Paris-Diderot - Paris VII, 2009. English. ⟨tel-00433045⟩

Journal articles33 documents

  • Magali Champion, Julien Chiquet, Pierre Neuvial, Mohamed Elati, François Radvanyi, et al.. Identification of Deregulated Mechanisms Specific to Bladder Cancer Subtypes. Journal of Bioinformatics and Computational Biology, World Scientific Publishing, 2021, 19 (1), ⟨10.1142/S0219720021400035⟩. ⟨hal-03079966⟩
  • 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⟩
  • Frédéric Pont, Marie Tosolini, Qing Gao, Marion Perrier, Miguel Madrid-Mencía, et al.. Single-Cell Virtual Cytometer allows user-friendly and versatile analysis and visualization of multimodal single cell RNAseq datasets. NAR Genomics and Bioinformatics, Oxford University Press, 2020, 2 (2), ⟨10.1093/nargab/lqaa025⟩. ⟨hal-02861405⟩
  • Guillermo Durand, Gilles Blanchard, Pierre Neuvial, Etienne Roquain. Post hoc false positive control for structured hypotheses. Scandinavian Journal of Statistics, Wiley, 2020, 47 (4), pp.1114-1148. ⟨10.1111/sjos.12453⟩. ⟨hal-01829037v3⟩
  • Gilles Blanchard, Pierre Neuvial, Etienne Roquain. Post hoc confidence bounds on false positives using reference families. Annals of Statistics, Institute of Mathematical Statistics, 2020, 48 (3), pp.1281-1303. ⟨10.1214/19-AOS1847⟩. ⟨hal-01483585v5⟩
  • 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⟩
  • Benjamin Sadacca, Anne-Sophie Hamy, C. Laurent, Pierre Gestraud, Hélène Bonsang-Kitzis, et al.. New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels (vol 7, 15126, 2016). Scientific Reports, Nature Publishing Group, 2018, 8, ⟨10.1038/s41598-018-36812-3⟩. ⟨hal-02619813⟩
  • François Bachoc, Gilles Blanchard, Pierre Neuvial. On the Post Selection Inference constant under Restricted Isometry Properties. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, ⟨10.1214/18-ejs1490⟩. ⟨hal-01772538v2⟩
  • Benjamin Sadacca, Anne-Sophie Hamy-Petit, Cecile Laurent, Pierre Gestraud, Hélène Bonsang-Kitzis, et al.. New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels. Scientific Reports, Nature Publishing Group, 2017, 7 (1), pp.15126. ⟨10.1038/s41598-017-14770-6⟩. ⟨hal-01634180⟩
  • Alia Dehman, Christophe Ambroise, Pierre Neuvial. Performance of a blockwise approach in variable selection using linkage disequilibrium information. BMC Bioinformatics, BioMed Central, 2015, 16, pp.14. ⟨10.1186/s12859-015-0556-6⟩. ⟨hal-01193074⟩
  • Morgane Pierre-Jean, Guillem Rigaill, Pierre Neuvial. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics, Oxford University Press (OUP), 2015, 16 (4), pp.600-615. ⟨10.1093/bib/bbu026⟩. ⟨hal-00952896v2⟩
  • Thomas Picchetti, Julien Chiquet, Mohamed Elati, Pierre Neuvial, Rémy Nicolle, et al.. A model for gene deregulation detection using expression data. BMC Systems Biology, BioMed Central, 2015, 9, ⟨10.1186/1752-0509-9-S6-S6⟩. ⟨hal-01154154v2⟩
  • Antoine Chambaz, Pierre Neuvial. tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation: Fig. 1.. Bioinformatics, Oxford University Press (OUP), 2015, 31 (18), pp.3054-6. ⟨10.1093/bioinformatics/btv320⟩. ⟨hal-01113680⟩
  • Pierre Neuvial. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, Microtome Publishing, 2013, 14, pp.1423 - 1459. ⟨hal-02644679⟩
  • Pierre Neuvial. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, Microtome Publishing, 2013, 14, pp.1423-1459. ⟨hal-00460677v2⟩
  • Isabel Brito, Philippe Hupé, Pierre Neuvial, Emmanuel Barillot. Stability-Based Comparison of Class Discovery Methods for DNA Copy Number Profiles. PLoS ONE, Public Library of Science, 2013, 8 (12), ⟨10.1371/journal.pone.0081458⟩. ⟨hal-02643008⟩
  • Maria Ortiz-Estevez, Ander Aramburu, Henrik Bengtsson, Pierre Neuvial, Angel Rubio. CalMaTe: a method and software to improve allele-specific copy number of SNP arrays for downstream segmentation. Bioinformatics, Oxford University Press (OUP), 2012, 28 (13), pp.1793-1794. ⟨10.1093/bioinformatics/bts248⟩. ⟨hal-01200761⟩
  • Antoine Chambaz, Pierre Neuvial, Mark van Der Laan. Estimation of a non-parametric variable importance measure of a continuous exposure. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2012, 6, pp.1059-1099. ⟨10.1214/12-EJS703⟩. ⟨hal-00629899⟩
  • Pierre Neuvial, Etienne Roquain. On false discovery rate thresholding for classification under sparsity. Annals of Statistics, Institute of Mathematical Statistics, 2012, 40 (5), pp.Vol. 40, No. 5, 2572-2600. ⟨10.1214/12-AOS1042⟩. ⟨hal-00604427v3⟩
  • Laura M Heiser, Anguraj Sadanandam, Wen-Lin Kuo, Stephen C Benz, Theodore C Goldstein, et al.. Subtype and pathway specific responses to anticancer compounds in breast cancer.. Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2012, 109 (8), pp.2724-9. ⟨hal-01201568⟩
  • Laurent Jacob, Pierre Neuvial, Sandrine Dudoit. More power via graph-structured tests for differential expression of gene networks. Annals of Applied Statistics, Institute of Mathematical Statistics, 2012, 6 (2), pp.561-600. ⟨10.1214/11-AOAS528⟩. ⟨hal-00521097v2⟩
  • Isabel Brito, Philippe Hupé, Pierre Neuvial, Emmanuel Barillot. Stability-based comparison of class discovery methods for DNA copy number profiles.. PLoS ONE, Public Library of Science, 2012, 8 (12), pp.e81458. ⟨hal-01201580⟩
  • The Cancer Genome Atlas Research Network, Pierre Neuvial. Integrated genomic analyses of ovarian carcinoma.. Nature, Nature Publishing Group, 2011, 474 (7353), pp.609-15. ⟨hal-01201577⟩
  • Franck Picard, S. Schbath, E. Lebarbier, Pierre Neuvial, J. Chiquet. Statistiques et Génome. Gazette des Mathématiciens, Société Mathématique de France, 2011, 130, pp.1-32. ⟨hal-00698143⟩
  • Adam B Olshen, Henrik Bengtsson, Pierre Neuvial, Paul T Spellman, Richard A Olshen, et al.. Parent-specific copy number in paired tumor–normal studies using circular binary segmentation. Bioinformatics, Oxford University Press (OUP), 2011, 27 (15), pp.2038-2046. ⟨10.1093/bioinformatics/btr329⟩. ⟨hal-01200750⟩
  • Henrik Bengtsson, Pierre Neuvial, Terence P Speed. TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. BMC Bioinformatics, BioMed Central, 2010, pp.245. ⟨10.1186/1471-2105-11-245⟩. ⟨hal-01199777⟩
  • Houtan Noushmehr, Daniel J Weisenberger, Kristin Diefes, Heidi S Phillips, Kanan Pujara, et al.. Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma.. Cancer Cell, Elsevier, 2010, 17 (5), pp.510-22. ⟨hal-01201573⟩
  • M. Bollet, N. Servant, Pierre Neuvial, C. Decraene, I. Lebigot, et al.. High-resolution mapping of DNA breakpoints to define true recurrences among ipsilateral breast cancers. JNCI: Journal of the National Cancer Institute, Oxford University Press (OUP), 2008, 100 (1), pp.48-58. ⟨10.1093/jnci/djm266⟩. ⟨hal-00204833⟩
  • Pierre Neuvial. Asymptotic Properties of False Discovery Rate Controlling Procedures Under Independence. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2008, 2, pp.1065-1110. ⟨10.1214/08-EJS20⟩. ⟨hal-00286066⟩
  • Mohamed Elati, Pierre Neuvial, Monique Bolotin-Fukuhara, Emmanuel Barillot, François Radvanyi, et al.. LICORN: learning cooperative regulation networks from gene expression data.. Bioinformatics, Oxford University Press (OUP), 2007, 23 (18), pp.2407-14. ⟨10.1093/bioinformatics/btm352⟩. ⟨hal-00192537⟩
  • Pierre Neuvial, Philippe Hupé, Isabel Brito, Stéphane Liva, Elodie Manié, et al.. Spatial normalization of array-CGH data.. BMC Bioinformatics, BioMed Central, 2006, 7, pp.264. ⟨10.1186/1471-2105-7-264⟩. ⟨inserm-00089910⟩
  • Philippe La Rosa, Eric Viara, Philippe Hupé, Gaëlle Pierron, Stéphane Liva, et al.. VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles. Bioinformatics, Oxford University Press (OUP), 2006, 22 (17), pp.2066-2073. ⟨10.1093/bioinformatics/btl359⟩. ⟨hal-01199867⟩
  • Stéphane Liva, Philippe Hupé, Pierre Neuvial, Isabel Brito, Eric Viara, et al.. CAPweb: a bioinformatics CGH array Analysis Platform. Nucleic Acids Research, Oxford University Press, 2006, 34 (W), pp.477-481. ⟨10.1093/nar/gkl215⟩. ⟨hal-01199870⟩

Book sections2 documents

  • Gilles Blanchard, Pierre Neuvial, Etienne Roquain. On agnostic post hoc approaches to false positive control. Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu. Handbook of Multiple Comparisons, Chapman & Hall/CRC, 2021, Handbooks of Modern Statistical Methods, 9780367140670. ⟨hal-02320543v2⟩
  • Pierre Neuvial, Henrik Bengtsson, Terence Paul Speed. Statistical analysis of Single Nucleotide Polymorphism microarrays in cancer studies. Handbook of Statistical Bioinformatics, 2011, Springer Handbooks of Computational Statistics, 978-3-642-16344-9. ⟨10.1007/978-3-642-16345-6_11⟩. ⟨hal-00497273⟩

Software1 document

  • 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⟩

Conference papers4 documents

  • 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⟩
  • Magali Champion, Julien Chiquet, Pierre Neuvial, Mohamed Elati, François Radvanyi, et al.. Identification of deregulated transcription factors involved in subtypes of cancers. Proceedings of the 12th International Conference on Bioinformatics and Computational Biology, Mar 2020, SAN FRANCISCO, United States. pp.1--10, ⟨10.29007/v7qj⟩. ⟨hal-01516892v2⟩
  • 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⟩
  • 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⟩

Other publications3 documents

  • Pierre Neuvial. Vers une médecine personnalisée grâce à la recherche en génomique. 2013. ⟨hal-01201657⟩
  • Pierre Neuvial. Tests multiples en génomique. 2011, No. 130 pp. 71-76. ⟨hal-01201629⟩
  • Pierre Neuvial, Pierre-Yves Bourguignon. Problématiques statistiques à l'heure de la post-génomique. 2009. ⟨hal-01201651⟩

Poster communications2 documents

  • 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⟩
  • 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⟩

Habilitation à diriger des recherches1 document

  • Pierre Neuvial. Contributions to statistical inference from genomic data. Statistics [math.ST]. Université Toulouse III Paul Sabatier, 2020. ⟨tel-02969229⟩

Preprints, Working Papers, ...2 documents

  • Javier González-Delgado, Alberto González-Sanz, Juan Cortés, Pierre Neuvial. Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology. 2022. ⟨hal-03369795v2⟩
  • Marie Perrot-Dockès, Gilles Blanchard, Pierre Neuvial, Etienne Roquain. Post hoc false discovery proportion inference under a Hidden Markov Model. 2021. ⟨hal-03214472⟩