Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

Abstract Background Gene regulatory networks (GRNs) can be inferred from both gene expression data and genetic perturbations. Under different conditions, the gene data of the same gene set may be different from each other, which results in different GRNs. Detecting structural difference between GRNs...

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Bibliographic Details
Main Authors: Yan Li, Dayou Liu, Tengfei Li, Yungang Zhu
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory networks
Gene expression
Genetic perturbations
Structural equation models
Differential GRN
Bayesian inference
Online Access:https://doi.org/10.1186/s12859-019-3314-3

Internet

https://doi.org/10.1186/s12859-019-3314-3

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