High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering

High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering

Studying the impact of genetic variation on gene regulatory networks is essential to understand the biological mechanisms by which genetic variation causes variation in phenotypes. Bayesian networks provide an elegant statistical approach for multi-trait genetic mapping and modelling causal trait re...

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Bibliographic Details
Main Authors: Lingfei Wang, Pieter Audenaert, Tom Michoel
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Genetics
Subjects:
systems genetics
network inference
Bayesian network
expression quantitative trait loci analysis
gene expression
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01196/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01196/full

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