696 search results - page 20 / 140 » ICA-based Clustering of Genes from Microarray Expression Dat... |
BMCBI
2005
13 years 7 months ago
2005
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
CSB
2003
IEEE
14 years 1 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
BMCBI
2002
13 years 7 months ago
2002
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
BMCBI
2006
13 years 8 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
ACIIDS
2010
IEEE
13 years 6 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...