2026-09-23T19:16:28Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81660 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Roth, Dan Agarwal, Shivani 2015-09-25T20:19:53Z 2015-09-25T20:19:53Z 10000-01-01 2005 2005 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. Made available in DSpace on 2015-09-25T20:19:53Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3182211.pdf: 3350687 bytes, checksum: a6e94a8a379342dd70e73f8468397f46 (MD5) Previous issue date: 2005 Embargo set by: Seth Robbins for item 82941 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 106 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005. http://hdl.handle.net/2142/81660 (MiAaPQ)AAI3182211 eng Computer Science A Study of the Bipartite Ranking Problem in Machine Learning text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.