In:
Bioinformatics, Oxford University Press (OUP), Vol. 19, No. 9 ( 2003-06-12), p. 1079-1089
Kurzfassung:
We present and review coupled two-way clustering, a method designed to mine gene expression data. The method identifies submatrices of the total expression matrix, whose clustering analysis reveals partitions of samples (and genes) into biologically relevant classes. We demonstrate, on data from colon and breast cancer, that we are able to identify partitions that elude standard clustering analysis Availability: Free, at http://ctwc.weizmann.ac.il Contact: eytan.domany@weizmann.ac.il Supplementary information: http://www.weizmann.ac.il/physics/complex/compphys/bioinfo2/ * To whom correspondence should be addressed.
Materialart:
Online-Ressource
ISSN:
1367-4811
,
1367-4803
DOI:
10.1093/bioinformatics/btf876
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2003
ZDB Id:
1468345-3
SSG:
12
