TY  - JOUR
AU  - Clementine Decamps
AU  - Alexis Arnaud
AU  - Florent Petitprez
AU  - Mira Ayadi
AU  - Aurelia Baures
AU  - Lucile Armenoult
AU  - Sergio Escalera
AU  - Isabelle Guyon
AU  - Remy Nicolle
AU  - Richard Tomasini
AU  - Aurelien de Reynies
AU  - Jerome Cros
AU  - Yuna Blum
AU  - Magali Richard
PY  - 2021//
TI  - DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification
JO  - BMC Bioinformatics
SP  - 473
VL  - 22
N2  - 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.
UR  - https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04381-4
L1  - http://refbase.cvc.uab.es/files/DAP2021.pdf
N1  - HUPBA; no proj
ID  - Clementine Decamps2021
ER  -