263 search results - page 1 / 53 » GenClust: A genetic algorithm for clustering gene expression... |
BMCBI
2005
13 years 4 months ago
2005
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
BMCBI
2008
13 years 5 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
BMCBI
2004
13 years 4 months ago
2004
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
APBC
2004
13 years 6 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...