A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data

Microarray technology has enriched the study of gene expression in such a way that scientists are now able to measure the expression levels of thousands of genes in a single experiment. Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and p...

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Bibliographic Details
Main Author: Abusamra, Heba
Other Authors: Gao, Xin
Language:en
Published: 2013
Subjects:
Online Access:Abusamra, H. (2013). A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data. KAUST Research Repository. https://doi.org/10.25781/KAUST-HA0V1
http://hdl.handle.net/10754/292479