Open AccessInferring gene regulatory networks by ANOVA
Author(s) -
Robert Küffner,
Tobias Petri,
Pegah Tavakkolkhah,
Lukas Windhager,
Ralf Zimmer
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts143
Subject(s) - inference , computer science , data mining , dependency (uml) , parametric statistics , gene regulatory network , correlation , mutual information , contingency table , variance (accounting) , computational biology , machine learning , statistics , artificial intelligence , gene expression , mathematics , gene , biology , genetics , geometry , accounting , business
To improve the understanding of molecular regulation events, various approaches have been developed for deducing gene regulatory networks from mRNA expression data.
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