541 search results - page 30 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
BMCBI
2007
13 years 8 months ago
2007
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
BMCBI
2011
13 years 3 months ago
2011
Background: Gene set enrichment testing has helped bridge the gap from an individual gene to a systems biology interpretation of microarray data. Although gene sets are defined a ...
CSB
2004
IEEE
13 years 12 months ago
2004
IEEE
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...