782 search results - page 7 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
AUSAI
2007
Springer
13 years 10 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
EVOW
2006
Springer
13 years 10 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
DILS
2005
Springer
14 years 7 days ago
2005
Springer
Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
BIOINFORMATICS
2007
13 years 6 months ago
2007
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
EVOW
2004
Springer
14 years 2 days ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...