Author

Clémentine Decamps

Centre National de la Recherche ScientifiqueORCID 0000-0002-2838-4961Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 2 Research Focus:benchmarking· 2 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Magali RichardiD· 2 shared Michael SchereriD· 2 shared A ArnaudiD· 1 shared Aleksandar MilosavljeviciD· 1 shared Aliaksandra KakoichankavaiD· 1 shared Anne-Françoise BattoiD· 1 shared Arthur Waguet· 1 shared Aurélia Baurès· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Magali RichardORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedOct 2, 2021

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

Clémentine Decamps, A Arnaud, Florent Petitprez…·Magali Richard

DECONbench benchmarks deconvolution methods for quantifying tumor cell-type heterogeneity by providing datasets, tools, and performance evaluation.

6 citations

benchmark studybenchmarking

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedJan 13, 2020

Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Clémentine Decamps, Florian Privé, Raphael Bacher…·Magali Richard

This study evaluates DNA methylation deconvolution methods for cell-type proportion inference, identifies critical steps for accuracy, and develops a benchmark pipeline.

42 citations

DNA methylationstatistical model

𝕏 PostBluesky