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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Vydané v:	Bioinformation Ročník 2; číslo 1; s. 5
Hlavní autori:	Kumar, Lokesh, E Futschik, Matthias
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore 20.05.2007
Predmet:	software soft clustering gene expression
ISSN:	0973-2063, 0973-2063
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