800 search results - page 30 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
FLAIRS
2004
13 years 9 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
BMCBI
2008
13 years 7 months ago
2008
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
BMCBI
2008
13 years 7 months ago
2008
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
BMCBI
2010
13 years 7 months ago
2010
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...