Cargando…

Benchmark data for identifying multi-functional types of membrane proteins

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 identifyin...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Shibiao, Mak, Man-Wai, Kung, Sun-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889873/
https://www.ncbi.nlm.nih.gov/pubmed/27294176
http://dx.doi.org/10.1016/j.dib.2016.05.024
_version_ 1782435028978892800
author Wan, Shibiao
Mak, Man-Wai
Kung, Sun-Yuan
author_facet Wan, Shibiao
Mak, Man-Wai
Kung, Sun-Yuan
author_sort Wan, Shibiao
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4889873
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-48898732016-06-10 Benchmark data for identifying multi-functional types of membrane proteins Wan, Shibiao Mak, Man-Wai Kung, Sun-Yuan Data Brief Data Article 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. Elsevier 2016-05-21 /pmc/articles/PMC4889873/ /pubmed/27294176 http://dx.doi.org/10.1016/j.dib.2016.05.024 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Wan, Shibiao
Mak, Man-Wai
Kung, Sun-Yuan
Benchmark data for identifying multi-functional types of membrane proteins
title Benchmark data for identifying multi-functional types of membrane proteins
title_full Benchmark data for identifying multi-functional types of membrane proteins
title_fullStr Benchmark data for identifying multi-functional types of membrane proteins
title_full_unstemmed Benchmark data for identifying multi-functional types of membrane proteins
title_short Benchmark data for identifying multi-functional types of membrane proteins
title_sort benchmark data for identifying multi-functional types of membrane proteins
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889873/
https://www.ncbi.nlm.nih.gov/pubmed/27294176
http://dx.doi.org/10.1016/j.dib.2016.05.024
work_keys_str_mv AT wanshibiao benchmarkdataforidentifyingmultifunctionaltypesofmembraneproteins
AT makmanwai benchmarkdataforidentifyingmultifunctionaltypesofmembraneproteins
AT kungsunyuan benchmarkdataforidentifyingmultifunctionaltypesofmembraneproteins