A statistical approach for array CGH data analysis. - Franck Picard; Stéphane Robin; Marc Lavielle; Christian Vaisse; Jean-Jacques Daudin (BMC Bioinform., 2005)

Assessing the Exceptionality of Network Motifs. - Franck Picard; Jean-Jacques Daudin; Michel Koskas; Sophie Schbath; Stéphane Robin (J. Comput. Biol., 2008)

A mixture model for random graphs. - Jean-Jacques Daudin; Franck Picard; Stéphane Robin (Stat. Comput., 2008)

Deciphering the connectivity structure of biological networks using MixNet. - Franck Picard; Vincent Miele; Jean-Jacques Daudin; Ludovic Cottret; Stéphane Robin (BMC Bioinform., 2009)

Strategies for Online Inference of Model-Based Clustering in large Networks - Hugo Zanghi; Franck Picard; Vincent Miele; Christophe Ambroise (CoRR, 2009)

Preprocessing and downstream analysis of microarray DNA copy number profiles. - Mark A. van de Wiel; Franck Picard; Wessel N. van Wieringen; Bauke Ylstra (Briefings Bioinform., 2011)

Joint segmentation of multivariate Gaussian processes using mixed linear models. - Franck Picard; Emilie Lebarbier; E. Budinskà; Stéphane Robin (Comput. Stat. Data Anal., 2011)

High-quality sequence clustering guided by network topology and multiple alignment likelihood. - Vincent Miele; Simon Penel; Vincent Daubin; Franck Picard; Daniel Kahn; Laurent Duret (Bioinform., 2012)

Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles. - Guillem Rigaill; Vincent Miele; Franck Picard (CIBB, 2013)

Adaptive Lasso and group-Lasso for functional Poisson regression. - Stéphane Ivanoff; Franck Picard; Vincent Rivoirard (J. Mach. Learn. Res., 2016)

On the robustness of the generalized fused lasso to prior specifications. - Vivian Viallon; Sophie Lambert-Lacroix; Holger Höfling; Franck Picard (Stat. Comput., 2016)

High dimensional classification with combined adaptive sparse PLS and logistic regression. - Ghislain Durif; Laurent Modolo; Jakob Michaelsson; Jeff E. Mold; Sophie Lambert-Lacroix; Franck Picard (Bioinform., 2018)

Probabilistic count matrix factorization for single cell expression data analysis. - Ghislain Durif; Laurent Modolo; Jeff E. Mold; Sophie Lambert-Lacroix; Franck Picard (Bioinform., 2019)

A Probabilistic Graph Coupling View of Dimension Reduction. - Hugues Van Assel; Thibault Espinasse; Julien Chiquet; Franck Picard (NeurIPS, 2022)

Uniform deconvolution for Poisson Point Processes. - Anna Bonnet; Claire Lacour; Franck Picard; Vincent Rivoirard (J. Mach. Learn. Res., 2022)

Kernel-Based Testing for Single-Cell Differential Analysis. - Anthony Ozier-Lafontaine; Camille Fourneaux; Ghislain Durif; Céline Vallot; Olivier Gandrillon; Sandrine Giraud; Bertrand Michel; Franck Picard (CoRR, 2023)

scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data. - Maxime Lepetit; Mirela Diana Ilie; Marie Chanal; Gerald Raverot; Philippe Bertolino; Christophe Arpin; Franck Picard; Olivier Gandrillon (Silico Biol., 2023)