Perspective of Feature Selection Techniques in Bioinformatics

Conference Paper

David, Satish Kumar . 2011

• Publication Work Type: Research
• Publication Online URL: Full Text: PDF
• Conference Name: The 2011 International Conference on Data Mining (DMIN'11) 18th to 21st July 2011.
• Conference Location: Las Vegas, Nevada, United States of America.
• Conference Date: Monday, July 18, 2011

Publication Abstract

The availability of massive amounts of experimental data based on genome-wide association and mass spectroscopy studies have given motivation in recent years to a large effort in developing mathematical, statistical and computational techniques to infer biological models from data. In many bioinformatics problems the number of features is significantly larger than the number of samples (high feature to sample ratio data sets) and feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the data mining fields, specific applications in bioinformatics have led to a wealth of newly proposed techniques. This assessment provides the aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, discussing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.

Keywords

Bioinformatics; Feature Selection; Text Mining; Wrapper; Genotype analysis.