Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61503
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWan, S-
dc.creatorMak, MW-
dc.creatorKung, SY-
dc.date.accessioned2016-12-19T08:56:06Z-
dc.date.available2016-12-19T08:56:06Z-
dc.identifier.issn2352-3409en_US
dc.identifier.urihttp://hdl.handle.net/10397/61503-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_US
dc.rightsThe following publication Wan, S., Mak, M. W., & Kung, S. Y. (2016). Benchmark data for identifying multi-functional types of membrane proteins. Data in brief, 8, 105 is available at https://doi.org/10.1016/j.dib.2016.05.024en_US
dc.titleBenchmark data for identifying multi-functional types of membrane proteinsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage105en_US
dc.identifier.epage107en_US
dc.identifier.volume8en_US
dc.identifier.doi10.1016/j.dib.2016.05.024en_US
dcterms.abstractIdentifying 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationData in brief, 2016, v. 8, p. 105-107-
dcterms.isPartOfData in brief-
dcterms.issued2016-
dc.identifier.scopus2-s2.0-84969969929-
dc.identifier.ros2016005967-
dc.identifier.rosgroupid2016005714-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201812_a bcmaen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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