149 search results - page 3 / 30 » Gene selection from microarray data for cancer classificatio... |
EVOW
2006
Springer
13 years 9 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 ...
BMCBI
2006
13 years 5 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
CSB
2005
IEEE
13 years 11 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
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
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...