Open AccessAnnotating gene function by combining expression data with a modular gene network
Author(s) -
M. Shiga,
Ichigaku Takigawa,
Hiroshi Mamitsuka
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm173
Subject(s) - modularity (biology) , computer science , cluster analysis , modular design , gene regulatory network , data mining , computational biology , function (biology) , microarray analysis techniques , gene , graph , artificial intelligence , gene expression , biology , theoretical computer science , genetics , operating system
A promising and reliable approach to annotate gene function is clustering genes not only by using gene expression data but also literature information, especially gene networks.
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