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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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Библиографические подробности
Главные авторы: de Matos Simoes, Ricardo, Emmert-Streib, Frank
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2011
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3248437/
https://ncbi.nlm.nih.gov/pubmed/22242113
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0029279
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