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University of Alberta BIO-RELATION DISCOVERY AND SPARSE LEARNING
"... Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of ..."
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Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatever without the author’s prior written permission. In this dissertation, I discuss several important problems in the area of bio-relation discovery (BRD). Discovering bio-relations is an important problem that arises fre-quently in bioinformatics. It involves identifying relationships (usually pairwise) between bio-entities. These relationships can be categorized as undirected ver-sus directed. I will investigate both types of BRD problems in this dissertation.