107 search results - page 2 / 22 » K-means Method for Improving Gene Selection for Classificat... |
BMCBI
2005
13 years 5 months ago
2005
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
BMCBI
2004
13 years 5 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
BMCBI
2006
13 years 5 months ago
2006
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
AUSAI
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches