20 search results - page 1 / 4 » Discovering biclusters in gene expression data based on high... |
BMCBI
2008
13 years 5 months ago
2008
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
IADIS
2008
13 years 6 months ago
2008
Most of the biclustering algorithms for gene expression data are based either on the Euclidean distance or correlation coefficient which capture only linear relationships. However...
COCOA
2009
Springer
13 years 9 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
2008
13 years 5 months ago
2008
Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
ISBRA
2007
Springer
13 years 11 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...