230 search results - page 27 / 46 » Assessing agreement of clustering methods with gene expressi... |
BMCBI
2004
13 years 7 months ago
2004
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
CSB
2003
IEEE
14 years 24 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
BMCBI
2010
13 years 7 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
BMCBI
2008
13 years 7 months ago
2008
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...