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Title:A Study of the Bipartite Ranking Problem in Machine Learning
Author(s):Agarwal, Shivani
Doctoral Committee Chair(s):Roth, Dan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Finally, we demonstrate a practical application of bipartite ranking to a problem in bioinformatics, namely the problem of identifying genes related to a given disease based on microarray data. Our studies on leukemia and colon cancer data sets show very promising results, including the identification of some exciting candidate genes as potential targets for drug development.
Issue Date:2005
Type:Text
Language:English
Description:106 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81660
Other Identifier(s):(MiAaPQ)AAI3182211
Date Available in IDEALS:2015-09-25
Date Deposited:2005


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