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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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 sampl...

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Bibliographic Details
Main Authors: Clémentine Decamps, Alexis Arnaud, Florent Petitprez, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, HADACA consortium, Sergio Escalera, Isabelle Guyon, Rémy Nicolle, Richard Tomasini, Aurélien de Reyniès, Jérôme Cros, Yuna Blum, Magali Richard
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Bioinformatics
Subjects:
Benchmarking platform
Deconvolution
Transcriptome
DNA methylation
Omics integration
Cellular heterogeneity
Online Access:https://doi.org/10.1186/s12859-021-04381-4

Internet

https://doi.org/10.1186/s12859-021-04381-4

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