57 search results - page 3 / 12 » A multi-objective approach to discover biclusters in microar... |
COCOA
2009
Springer
13 years 10 months ago
2009
Springer
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
BMCBI
2006
13 years 5 months ago
2006
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
CBMS
2005
IEEE
13 years 7 months ago
2005
IEEE
In gene expression data a bicluster is a subset of genes and a subset of conditions which show correlating levels of expression. However, the problem of finding significant biclu...
BIBE
2004
IEEE
13 years 9 months ago
2004
IEEE
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...