Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python - Colange, Maximilien; Appé, Guillaume; Meunier, Léa; Weill, Solène; Nordor, Akpéli; Behdenna, Abdelkader (BMC bioinformatics, 2025)
Keywords: Algorithms; Artificial intelligence; Automation; Bioinformatics; Biomedical and Life Sciences; Cancer; Computational Biology - methods; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Data mining; Datasets; Differential gene expression analysis; DNA microarrays; Gene expression; Gene Expression Profiling - methods; Generalized linear models; Genetic research; Life Sciences; Methods; Microarray; Microarrays; Multiomics; Open source; Open source software; Ovaries; Phenotypes; Pipelines; Programming Languages; Public software; Python; Python (Programming language); Reproducibility; RNA sequencing; RNA-Seq; Software; Transcriptome; Transcriptomics; France; Differential gene expression analysis; Microarray; Open source; RNA-Seq; Python