Sciweavers

EVOW
2006
Springer

A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data

13 years 7 months ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
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 a fuzzy logic based pre-filtering technique. The GA is used to evolve gene subsets whose fitness is evaluated by a SVM classifier. Using archive records of "good" gene subsets, a frequency based technique is introduced to identify the most informative genes. Our approach is assessed on two well-known cancer datasets and shows competitive results with six existing methods.
Edmundo Bonilla Huerta, Béatrice Duval, Jin
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where EVOW
Authors Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao
Comments (0)