Unsupervised feature construction approaches for biological sequence classification

Unsupervised feature construction approaches for biological sequence classification

Doctor of Philosophy === Department of Computing and Information Sciences === Doina Caragea === Recent advancements in biological sciences have resulted in the availability of large amounts of sequence data (DNA and protein sequences). Biological sequence data can be annotated using machine learning...

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Bibliographic Details
Main Author: Tangirala, Karthik
Language:en_US
Published: Kansas State University 2015
Subjects:
Machine learning
Bioinformatics
Feature construction
Biological sequence classification
Unsupervised approaches
Bioinformatics (0715)
Computer Science (0984)
Online Access:http://hdl.handle.net/2097/19123

Internet

http://hdl.handle.net/2097/19123

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