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Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes

Author(s): Park, Christopher Y; Wong, Aaron K; Greene, Casey S; Rowland, Jessica; Guan, Yuanfang; et al

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dc.contributor.authorPark, Christopher Yen_US
dc.contributor.authorWong, Aaron Ken_US
dc.contributor.authorGreene, Casey Sen_US
dc.contributor.authorRowland, Jessicaen_US
dc.contributor.authorGuan, Yuanfangen_US
dc.contributor.authorBongo, Lars Aen_US
dc.contributor.authorBurdine, Rebecca Den_US
dc.contributor.authorTroyanskaya, Olga Gen_US
dc.date.accessioned2020-02-29T03:39:15Z-
dc.date.available2020-02-29T03:39:15Z-
dc.date.issued2013-03-14en_US
dc.identifier.citationPark, Christopher Y, Wong, Aaron K, Greene, Casey S, Rowland, Jessica, Guan, Yuanfang, Bongo, Lars A, Burdine, Rebecca D, Troyanskaya, Olga G. (2013). Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes. PLoS Computational Biology, 9 (3), e1002957 - e1002957. doi:10.1371/journal.pcbi.1002957en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1mz1z-
dc.format.extente1002957 - e1002957en_US
dc.relation.ispartofPLoS Computational Biologyen_US
dc.titleFunctional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processesen_US
dc.typeJournal Article-
dc.identifier.doidoi:10.1371/journal.pcbi.1002957en_US
dc.date.eissued2013-03-14en_US
dc.identifier.eissn1553-7358en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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