Two-Way Gene Interaction From Microarray Data Based on Correlation Methods.

ABSTRACT:

Background

Gene networks have generated a massive explosion in the development of high-throughput techniques for monitoring various aspects of gene activity. Networks offer a natural way to model interactions between genes, and extracting gene network information from high-throughput genomic data is an important and difficult task.

Objectives

The purpose of this study is to construct a two-way gene network based on parametric and nonparametric correlation coefficients. The first step in constructing a Gene Co-expression Network is to score all pairs of gene vectors. The second step is to select a score threshold and connect all gene pairs whose scores exceed this value.

Materials and methods

In the foundation-application study, we constructed two-way gene networks usi

SUBMITTER: Alavi Majd H 

PROVIDER: S-EPMC5002968 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature