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...

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Detalles Bibliográficos
Autores principales: Wan, Shibiao, Mak, Man-Wai, Kung, Sun-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
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
Descripción
Sumario: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.

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