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Estimation d'effets causaux dans les réseaux de régulation génique. Vers la grande dimension., , , and . Rev. d'Intelligence Artif., 29 (2): 205-227 (2015)Exploring drivers of gene expression in the Cancer Genome Atlas., , , and . Bioinform., 35 (1): 62-68 (2019)Joint estimation of causal effects from observational and intervention gene expression data., , and . BMC Syst. Biol., (2013)Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models., , , and . Bioinform., 31 (9): 1420-1427 (2015)Transformation and model choice for RNA-seq co-expression analysis., and . Briefings Bioinform., 19 (3): 425-436 (2018)A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis., , , , , , , , , and 9 other author(s). Briefings Bioinform., 14 (6): 671-683 (2013)Differential meta-analysis of RNA-seq data from multiple studies., , and . BMC Bioinform., (2014)Reverse engineering gene regulatory networks using approximate Bayesian computation., , , and . Stat. Comput., 22 (6): 1257-1271 (2012)Accounting for overlapping annotations in genomic prediction models of complex traits., , , and . BMC Bioinform., 23 (1): 365 (2022)Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis., , , , , , , , , and 3 other author(s). Briefings Bioinform., 19 (1): 65-76 (2018)