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Dissertation/Thesis Abstract

Feature selection techniques and applications in bioinformatics
by Dittman, David, M.S., Florida Atlantic University, 2011, 147; 1504155
Abstract (Summary)

Possibly the largest problem when working in bioinformatics is the large amount of data to sift through to find useful information. This thesis shows that the use of feature selection (a method of removing irrelevant and redundant information from the dataset) is a useful and even necessary technique to use in these large datasets. This thesis also presents a new method in comparing classes to each other through the use of their features. It also provides a thorough analysis of the use of various feature selection techniques and classifier in different scenarios from bioinformatics. Overall, this thesis shows the importance of the use of feature selection in bioinformatics.

Indexing (document details)
Advisor: Khoshgoftaar, Taghi M.
School: Florida Atlantic University
School Location: United States -- Florida
Source: MAI 50/02M, Masters Abstracts International
Subjects: Genetics, Bioinformatics, Computer science
Publication Number: 1504155
ISBN: 978-1-124-94744-0
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