Inferring gene regulatory networks from gene expression data by a dynamic Bayesian network-based model
Enabled by recent advances in bioinformatics, the inference of gene regulatory networks (GRNs) from gene expression data has garnered much interest from researchers. This is due to the need of researchers to understand the dynamic behavior and uncover the vast information lay hidden within the netwo...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Book Section |
Published: |
Springer
2012
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/33916/ http://dx.doi.org/10.1007/978-3-642-28765-7_45 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|