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

ABSTRACT:

Background

Quantification of tumor heterogeneity is essential to better understand cancer progression and to adapt therapeutic treatments to patient specificities. Bioinformatic tools to assess the different cell populations from single-omic datasets as bulk transcriptome or methylome samples have been recently developed, including reference-based and reference-free methods. Improved methods using multi-omic datasets are yet to be developed in the future and the community would need systematic tools to perform a comparative evaluation of these algorithms on controlled data.

Results

We present DECONbench, a standardized unbiased benchmarking resource, applied to the evaluation of computational methods quantifying cell-type heterogeneity in cancer. DECONbench includes gold sta

SUBMITTER: Decamps C 

PROVIDER: S-EPMC8487526 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature