800 search results - page 75 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
TCBB
2010
13 years 7 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
BMCBI
2007
13 years 9 months ago
2007
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
EVOW
2005
Springer
14 years 2 months ago
2005
Springer
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
ACIIDS
2010
IEEE
13 years 7 months ago
2010
IEEE
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
BMCBI
2007
13 years 9 months ago
2007
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...