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.

DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification

Here we propose an innovative public digital benchmarking platform, open source, and freely available for the scientific community, including both high quality benchmarking datasets and reference computational methods. The platform can be used to assess the performance of newly developed methods, which are automatically compared to the existing ones in a user-friendly fashion.

Recommended citation: Decamps C, Arnaud A, Petitprez F, Ayadi M, Baurès A, Armenoult L; HADACA consortium; Escalera S, Guyon I, Nicolle R, Tomasini R, de Reyniès A, Cros J, Blum Y, Richard M. DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. BMC Bioinformatics. 2021 Oct 2;22(1):473. doi: 10.1186/s12859-021-04381-4. PMID: 34600479; PMCID: PMC8487526.
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