Modular network construction using eQTL data: an analysis of computational costs and benefits.

ABSTRACT:

Background

In this paper, we consider analytic methods for the integrated analysis of genomic DNA variation and mRNA expression (also named as eQTL data), to discover genetic networks that are associated with a complex trait of interest. Our focus is the systematic evaluation of the trade-off between network size and network search efficiency in the construction of these networks.

Results

We developed a modular approach to network construction, building from smaller networks to larger ones, thereby reducing the search space while including more variables in the analysis. The goal is achieving a lower computational cost while maintaining high confidence in the resulting networks. As demonstrated in our simulation results, networks built in this way have low node/edge false di

SUBMITTER: Ho YY 

PROVIDER: S-EPMC3935177 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature