738 search results - page 22 / 148 » E-CAST: A Data Mining Algorithm for Gene Expression Data |
BMCBI
2004
13 years 7 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...
BMCBI
2008
13 years 7 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 ...
BMCBI
2008
13 years 7 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...
KES
2008
Springer
13 years 7 months ago
2008
Springer
The validation of clusters discovered in bio-molecular data is a central issue in bioinformatics. Recently, stability-based methods have been successfully applied to the analysis o...
BMCBI
2005
13 years 7 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...