Magali Richard

Magali Richard

I am a CNRS researcher in bioinformatics, with a background in molecular biology, genetics, and computational biology. My research focuses on tumor heterogeneity, method development, and cancer biology, and I also promote collaborative science by organizing data challenges.

PenDA, a rank-based method for personalized differential analysis: Application to lung cancer

This manuscript describes a novel method, named PenDA, to perform differential analysis of gene expression at the individual level. In PenDA, a gene is considered as deregulated in one sample of interest (e.g., a tumor) if its local ordering relatively to other genes with similar expressions is perturbed compared to its ordering in a set of control samples (e.g., normal tissues).

Recommended citation: Richard M, Decamps C, Chuffart F, Brambilla E, Rousseaux S, Khochbin S, Jost D. PenDA, a rank-based method for personalized differential analysis: Application to lung cancer. PLoS Comput Biol. 2020 May 11;16(5):e1007869. doi: 10.1371/journal.pcbi.1007869. PMID: 32392248; PMCID: PMC7274464.
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