DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification.
Clémentine DecampsAlexis ArnaudFlorent PetitprezMira AyadiAurélia BaurèsLucile Armenoultnull nullSergio EscaleraIsabelle GuyonRémy NicolleRichard TomasiniAurélien de ReynièsJérôme CrosYuna BlumMagali RichardPublished in: BMC bioinformatics (2021)
DECONbench allows continuous submission of new methods in a user-friendly fashion, each novel contribution being automatically compared to the reference baseline methods, which enables crowdsourced benchmarking. DECONbench is designed to serve as a reference platform for the benchmarking of deconvolution methods in the evaluation of cancer heterogeneity. We believe it will contribute to leverage the benchmarking practices in the biomedical and life science communities. DECONbench is hosted on the open source Codalab competition platform. It is freely available at: https://competitions.codalab.org/competitions/27453 .