Regulatory network inferred using expression data of small sample size: application and validation in erythroid system.

ABSTRACT:

Motivation

Modeling regulatory networks using expression data observed in a differentiation process may help identify context-specific interactions. The outcome of the current algorithms highly depends on the quality and quantity of a single time-course dataset, and the performance may be compromised for datasets with a limited number of samples.

Results

In this work, we report a multi-layer graphical model that is capable of leveraging many publicly available time-course datasets, as well as a cell lineage-specific data with small sample size, to model regulatory networks specific to a differentiation process. First, a collection of network inference methods are used to predict the regulatory relationships in individual public datasets. Then, the inferred directional relati

SUBMITTER: Zhu F 

PROVIDER: S-EPMC4514931 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature