Number of documents

33


Journal articles25 documents

  • Gilles Blanchard, Pierre Neuvial, Etienne Roquain. Post hoc confidence bounds on false positives using reference families. Annals of Statistics, Institute of Mathematical Statistics, In press. ⟨hal-01483585v5⟩
  • 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⟩
  • 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), ⟨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, ⟨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⟩
  • Alia Dehman, Christophe Ambroise, Pierre Neuvial. Performance of a blockwise approach in variable selection using linkage disequilibrium information. BMC Bioinformatics, BioMed Central, 2015, pp.14. ⟨10.1186/s12859-015-0556-6⟩. ⟨hal-01193074⟩
  • Pierre Neuvial. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, Journal of Machine Learning Research, 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, 2012, 8 (12), pp.e81458. ⟨hal-01201580⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Pierre Neuvial, Etienne Roquain. On false discovery rate thresholding for classification under sparsity. Annals of Statistics, Institute of Mathematical Statistics, 2012, pp.Vol. 40, No. 5, 2572-2600. ⟨10.1214/12-AOS1042⟩. ⟨hal-00604427v3⟩
  • Adam Olshen, Henrik Bengtsson, Pierre Neuvial, Paul T Spellman, Richard 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⟩
  • Franck Picard, S. Schbath, E. Lebarbier, P. Neuvial, J. Chiquet. Statistiques et Génome. Gazette des Mathématiciens, Société Mathématique de France, 2011, 130, pp.1-32. ⟨hal-00698143⟩
  • 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⟩
  • 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. ⟨http://www.biomedcentral.com/1471-2105/11/245⟩. ⟨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⟩
  • 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⟩
  • 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. Journal of the National Cancer Institute, 2008, 100 (1), pp.48-58. ⟨hal-00204833⟩
  • 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⟩
  • 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. ⟨http://bioinformatics.oxfordjournals.org/content/22/17/2066⟩. ⟨10.1093/bioinformatics/btl359⟩. ⟨hal-01199867⟩
  • 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⟩
  • 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 sections1 document

  • Pierre Neuvial, Henrik Bengtsson, Terence 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⟩

Preprints, Working Papers, ...3 documents

  • Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. 2019. ⟨hal-02006331⟩
  • Guillermo Durand, Gilles Blanchard, Pierre Neuvial, Etienne Roquain. Post hoc false positive control for spatially structured hypotheses. 2018. ⟨hal-01829037v2⟩
  • Magali Champion, Julien Chiquet, Pierre Neuvial, Mohamed Elati, Etienne Birmelé. Identification of deregulated transcription factors involved in subtypes of cancers. 2017. ⟨hal-01516892⟩

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⟩

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⟩