Open AccessAnalysing gene expressions with GRANK
Author(s) -
Wim P.H. de Boer,
Joost J. Oudejans,
Chris J.L.M. Meijer,
J. Lankelma
Publication year - 2003
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/btg267
Subject(s) - cluster analysis , license , dna microarray , mit license , computer science , gene , software , computational biology , data mining , biology , genetics , gene expression , artificial intelligence , programming language , operating system
Unravelling overlapping clusters of functionally linked genes is a major challenge to current clustering programs. Algorithm GRANK permits systematic study of overlap between clusters of genes of a similar expression profile and large variation across a series of microarrays.
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