Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Abstract Background Cell-type heterogeneity of tumors is a key factor in tumor progression and response to chemotherapy. Tumor cell-type heterogeneity, defined as the proportion of the various cell-types in a tumor, can be inferred from DNA methylation of surgical specimens. However, confounding fac...

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Bibliographic Details
Main Authors: Clémentine Decamps, Florian Privé, Raphael Bacher, Daniel Jost, Arthur Waguet, HADACA consortium, Eugene Andres Houseman, Eugene Lurie, Pavlo Lutsik, Aleksandar Milosavljevic, Michael Scherer, Michael G. B. Blum, Magali Richard
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Bioinformatics
Subjects:
Cell heterogeneity
Deconvolution
DNA methylation
Epigenetics
Matrix factorization
R package/pipeline
Online Access:https://doi.org/10.1186/s12859-019-3307-2

Internet

https://doi.org/10.1186/s12859-019-3307-2

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