DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification
Clémentine DecampsiD, A ArnaudiD, Florent PetitpreziD, Mira AyadiiD, Aurélia Baurès, Lucile Armenoult, Nicolas AlcalaiD, Francisco Avila CobosiD, Luciana Batista, Anne-Françoise BattoiD, Yuna BlumiD, Florent ChuffartiD, Jerome F. CrosiD, L. Dirian, Daria DonceviciD, Ghislain DurifiD, S. Y. Bahena HernandeziD, Milan Jakobi, Rémy Jardillier, M. Jeanmougin, Paulina JedynakiD, Basile Jumentier, Aliaksandra KakoichankavaiD, Maria KondiliiD, Jingwen LiuiD, , Magali RichardiD
Abstract
MotivationQuantification of tumor heterogeneity is essential to better understand cancer progressionand to adapt therapeutic treatments to patient specificities. ResultsWe present DECONbench, a web-based application to benchmark computational methods dedicated to quantify of cell-type heterogeneity in cancer. DECONbench includes benchmark datasets, computational methods and performance evaluation. It allows submission of new methods. Availability and implementationDECONbench is hosted on the open source codalab competition platform. It is freely available at: https://competitions.codalab.org/competitions/23660. Supplementary informationAdditional information is available online and on our website: https://cancer-heterogeneity.github.io/deconbench.html.
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