TITLE

Reconstructing transcriptional regulatory networks through genomics data

AUTHOR(S)
Ning Sun; Hongyu Zhao
PUB. DATE
December 2009
SOURCE
Statistical Methods in Medical Research;Dec2009, Vol. 18 Issue 6, p595
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
One central problem in biology is to understand how gene expression is regulated under different conditions. Microarray gene expression data and other high throughput data have made it possible to dissect transcriptional regulatory networks at the genomics level. Owing to the very large number of genes that need to be studied, the relatively small number of data sets available, the noise in the data and the different natures of the distinct data types, network inference presents great challenges. In this article, we review statistical and computational methods that have been developed in the last decade in response to genomics data for inferring transcriptional regulatory networks.
ACCESSION #
47332469

 

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