Bayesian mixture regression analysis for regulation of Pluripotency in ES cells

Bayesian mixture regression analysis for regulation of Pluripotency in ES cells

Abstract Background Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed...

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Bibliographic Details
Main Authors: Mehran Aflakparast, Geert Geeven, Mathisca C.M. de Gunst
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Bioinformatics
Subjects:
Transcription regulation
Pluripotency
Mixture regression
Data integration
Bayesian analysis
Online Access:https://doi.org/10.1186/s12859-019-3331-2

Internet

https://doi.org/10.1186/s12859-019-3331-2

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