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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3248437?pdf=render |