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

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

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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...

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Bibliographic Details
Main Authors: Armenoult, L. (Author), Arnaud, A. (Author), Ayadi, M. (Author), Baurès, A. (Author), Blum, Y. (Author), Cros, J. (Author), de Reyniès, A. (Author), Decamps, C. (Author), Escalera, S. (Author), Guyon, I. (Author), HADACA consortium (Author), Nicolle, R. (Author), Petitprez, F. (Author), Richard, M. (Author), Tomasini, R. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2021
Subjects:
adenocarcinoma
Adenocarcinoma
algorithm
Algorithms
benchmarking
Benchmarking
Benchmarking platform
biology
Cancer
Cellular heterogeneity
Computational Biology
Deconvolution
DNA methylation
genetics
human
Humans
Omics integration
pancreas tumor
Pancreatic Neoplasms
Transcriptome
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