850 search results - page 3 / 170 » An association analysis approach to biclustering |
BMCBI
2008
13 years 7 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
COCOA
2009
Springer
14 years 6 days 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...
SDM
2009
SIAM
14 years 4 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...
RECOMB
2010
Springer
14 years 2 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 ...