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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: de Matos Simoes, Ricardo, Emmert-Streib, Frank
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2011
Gaiak:
Sarrera elektronikoa: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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