RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart

RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart

Inferring gene regulatory networks from expression data is essential in identifying complex regulatory relationships among genes and revealing the mechanism of certain diseases. Various computation methods have been developed for inferring gene regulatory networks. However, these methods focus on th...

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Bibliographic Details
Main Authors: Wei Liu, Xingen Sun, Li Peng, Lili Zhou, Hui Lin, Yi Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Genetics
Subjects:
gene regulatory networks
random walk with restart
local topology
global topology
Markov Blanket discovery algorithm
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.591461/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.591461/full

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