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

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dc.contributor.authorRay, Shubhra Sankar
dc.contributor.authorBandyopadhyay, Sanghamitra
dc.contributor.authorPal, Sankar K
dc.date.accessioned2013-01-16T06:08:23Z
dc.date.available2013-01-16T06:08:23Z
dc.date.issued2012
dc.identifier.citationIEEE Transactions on Biomedical Engineering, v. 59, no. 4, p. 1162-1168en_US
dc.identifier.urihttp://hdl.handle.net/10263/5138
dc.language.isoenen_US
dc.subjectAmino acid sequenceen_US
dc.subjectComputer simulationen_US
dc.subjectGene expression profilingen_US
dc.subjectMolecular sequence dataen_US
dc.subjectStructure-activity relationshipen_US
dc.subjectSaccharomyces cerevisiae proteinsen_US
dc.subjectSignal transductionen_US
dc.titleA weighted power framework for integrating multi-source information : gene function prediction in yeasten_US
dc.typeArticleen_US

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