Mfuzz: a software package for soft clustering of microarray data

For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster. Hard clustering, however, suffers from several drawbacks such as sensitivity to noise and informa...

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Bibliographic Details

Published in:	Bioinformation Vol. 2; no. 1; p. 5
Main Authors:	Kumar, Lokesh, E Futschik, Matthias
Format:	Journal Article
Language:	English
Published:	Singapore 20.05.2007
Subjects:	software soft clustering gene expression
ISSN:	0973-2063, 0973-2063
Online Access:	Get more information
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