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University of Illinois at Urbana-Champaign
A Study of the Bipartite Ranking Problem in Machine Learning
Abstract
dc:descriptionFinally, 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Agarwal, Shivani
- Contributors dc:contributor
-
- Roth, Dan
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3182211
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81660