Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks.

The inference of gene regulatory networks from gene expression data is a difficult problem because the performance of the inference algorithms depends on a multitude of different factors. In this paper we study two of these. First, we investigate the influence of discrete mutual information (MI) est...

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Bibliographic Details
Main Authors: Ricardo de Matos Simoes, Frank Emmert-Streib
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3248437?pdf=render