Benchmark data for identifying multi-functional types of membrane proteins

Author(s): Wan, S; Mak, M-W; Kung, Sun-Yuan

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DC Field	Value	Language
dc.contributor.author	Wan, S	-
dc.contributor.author	Mak, M-W	-
dc.contributor.author	Kung, Sun-Yuan	-
dc.date.accessioned	2021-10-08T20:15:41Z	-
dc.date.available	2021-10-08T20:15:41Z	-
dc.date.issued	2016-5-5	en_US
dc.identifier.citation	Wan, S, Mak, M-W, Kung, S-Y. (2016). Benchmark data for identifying multi-functional types of membrane proteins. Data in Brief, 8 (105 - 107. doi:10.1016/j.dib.2016.05.024	en_US
dc.identifier.uri	http://arks.princeton.edu/ark:/88435/pr14r95	-
dc.description.abstract	Identifying membrane proteins and their multi-functional types is an indispensable yet challenging topic in proteomics and bioinformatics. In this article, we provide data that are used for training and testing Mem-ADSVM (Wan et al., 2016. "Mem-ADSVM: a two-layer multi-label predictor for identifying multi-functional types of membrane proteins" [1]), a two-layer multi-label predictor for predicting multi-functional types of membrane proteins.	en_US
dc.format.extent	105 - 107	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartof	Data in Brief	en_US
dc.rights	Final published version. Article is made available in OAR by the publisher's permission or policy.	en_US
dc.title	Benchmark data for identifying multi-functional types of membrane proteins	en_US
dc.type	Journal Article	en_US
dc.identifier.doi	doi:10.1016/j.dib.2016.05.024	-
dc.date.eissued	2016-5-21	en_US
pu.type.symplectic	http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article	en_US

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