746 search results - page 6 / 150 » Clustering of Gene Expression Data: Performance and Similari... |
BMCBI
2006
14 years 9 months ago
2006
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
CBMS
2005
IEEE
15 years 3 months ago
2005
IEEE
The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
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BMCBI
2006
14 years 9 months ago
2006
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
100
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GFKL
2005
Springer
15 years 3 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...