Automated Identification of Core Regulatory Genes in Human Gene Regulatory Networks.
Human gene regulatory networks (GRN) can be difficult to interpret due to a tangle of edges interconnecting thousands of genes. We constructed a general human GRN from extensive transcription factor and microRNA target data obtained from public databases. In a subnetwork of this GRN that is active d...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1004504 |