The week's pick
Reseach Article
A Survey on Different Feature Selection Methods for Microarray Data Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 67 - Number 16 |
| Year of Publication: 2013 |
| Authors: Varuna Tyagi, Anju Mishra |
10.5120/11482-7181
|
Varuna Tyagi, Anju Mishra . A Survey on Different Feature Selection Methods for Microarray Data Analysis. International Journal of Computer Applications. 67, 16 ( April 2013), 36-40. DOI=10.5120/11482-7181
Abstract
In the field of medical science diseases diagnosis by Tissue microarrays is one of the active areas of research . There are various gene selection techniques in the literature. Gene selection provides genes subsets that are capable to describe in which category those gene are (active, hyperactive or silent). Various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics are using huge data sets. The problem has been addressed of selection of a small subset of genes from broad patterns of gene expression data, recorded on DNA micro-arrays for cancer classification. Usually till now survey paper discuss various conventional & evolutionary methods of gene selection like filters, wrappers methods.
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