Construction of gene causal regulatory networks using microarray data with the coefficient of intrinsic dependence.

ABSTRACT:

Background

In the past two decades, biologists have been able to identify the gene signatures associated with various phenotypes through the monitoring of gene expressions with high-throughput biotechnologies. These gene signatures have in turn been successfully applied to drug development, disease prevention, crop improvement, etc. However, ignoring the interactions among genes has weakened the predictive power of gene signatures in practical applications. Gene regulatory networks, in which genes are represented by nodes and the associations between genes are represented by edges, are typically constructed to analyze and visualize such gene interactions. More specifically, the present study sought to measure gene-gene associations by using the coefficient of intrinsic dependence (

SUBMITTER: Liu LD 

PROVIDER: S-EPMC6738364 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature