451 search results - page 12 / 91 » Context-specific Bayesian clustering for gene expression dat... |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
BMCBI
2006
13 years 7 months ago
2006
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
BMCBI
2008
13 years 7 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
JCP
2006
13 years 7 months ago
2006
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...