ロード中...

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...

詳細記述

保存先:
書誌詳細
主要な著者: de Matos Simoes, Ricardo, Emmert-Streib, Frank
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2011
主題:
オンライン・アクセス: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
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!