33 search results - page 2 / 7 » Evolutionary computation for biclustering of gene expression |
IADIS
2008
13 years 6 months ago
2008
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
CSB
2005
IEEE
13 years 11 months ago
2005
IEEE
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
RECOMB
2010
Springer
13 years 11 months ago
2010
Springer
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
BMCBI
2010
13 years 5 months ago
2010
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
SDM
2009
SIAM
14 years 2 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...