BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference

BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference

Abstract We introduce a Bayesian semi-supervised method for estimating cell counts from DNA methylation by leveraging an easily obtainable prior knowledge on the cell-type composition distribution of the studied tissue. We show mathematically and empirically that alternative methods which attempt to...

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Bibliographic Details
Main Authors: Elior Rahmani, Regev Schweiger, Liat Shenhav, Theodora Wingert, Ira Hofer, Eilon Gabel, Eleazar Eskin, Eran Halperin
Format: Article
Language:English
Published: BMC 2018-09-01
Series:Genome Biology
Subjects:
DNA methylation
Cell-type composition
Tissue heterogeneity
Cell counts
Bayesian model
Epigenetics
Online Access:http://link.springer.com/article/10.1186/s13059-018-1513-2

Internet

http://link.springer.com/article/10.1186/s13059-018-1513-2

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