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

Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/5138

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DC Field	Value	Language
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
Appears in Collections:	Computer Science

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