A weighted power framework for integrating multi-source information : gene function prediction in yeast

Ray, Shubhra Sankar; Bandyopadhyay, Sanghamitra; Pal, Sankar K

dc.contributor.author	Ray, Shubhra Sankar
dc.contributor.author	Bandyopadhyay, Sanghamitra
dc.contributor.author	Pal, Sankar K
dc.date.accessioned	2013-01-16T06:08:23Z
dc.date.available	2013-01-16T06:08:23Z
dc.date.issued	2012
dc.identifier.citation	IEEE Transactions on Biomedical Engineering, v. 59, no. 4, p. 1162-1168	en_US
dc.identifier.uri	http://hdl.handle.net/10263/5138
dc.language.iso	en	en_US
dc.subject	Amino acid sequence	en_US
dc.subject	Computer simulation	en_US
dc.subject	Gene expression profiling	en_US
dc.subject	Molecular sequence data	en_US
dc.subject	Structure-activity relationship	en_US
dc.subject	Saccharomyces cerevisiae proteins	en_US
dc.subject	Signal transduction	en_US
dc.title	A weighted power framework for integrating multi-source information : gene function prediction in yeast	en_US
dc.type	Article	en_US