56 search results - page 3 / 12 » Evolutionary Biclustering of Microarray Data |
SIAMCOMP
2008
13 years 8 months ago
2008
One of the main goals in the analysis of microarray data is to identify groups of genes and groups of experimental conditions (including environments, individuals, and tissues) tha...
ECCB
2003
IEEE
14 years 1 months ago
2003
IEEE
EVOW
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...