DECONbench, is a standardized unbiased benchmarking resource, applied to the evaluation of computational methods quantifying cell-type heterogeneity, which is particularly useful in the cancer field. it includes gold standard multi-omic simulated benchmark datasets (transcriptome and methylation data) and a set of baseline deconvolution methods (reference-free algorithms inferring cell-type proportions). DECONbench performs a systematic performance evaluation of each new methodological contribution and provides the possibility to publically share source code and scoring. It allows continuous submission of new methods in a user-friendly fashion, each novel contribution being automatically compared to the reference baseline algorithms, which enables crowdsourcing benchmarking. DECONbench is hosted on the open source Codalab competition platform.
👉Deconbench is freely available here.
How to cite
DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. C. Decamps, et al., bioRxiv 2020.06.06.131482; doi: 10.1101/2020.06.06.131482