Benchmark data for identifying multi-functional types of membrane proteins

Shibiao Wan; Man Wai Mak; Sun Yuan Kung

doi:10.1016/j.dib.2016.05.024

Benchmark data for identifying multi-functional types of membrane proteins

Shibiao Wan, Man Wai Mak, Sun Yuan Kung

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	105-107
Number of pages	3
Journal	Data in Brief
Volume	8
DOIs	https://doi.org/10.1016/j.dib.2016.05.024
Publication status	Published - 1 Sept 2016

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10.1016/j.dib.2016.05.024

http://hdl.handle.net/10397/61503

Cite this

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DO - 10.1016/j.dib.2016.05.024

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Benchmark data for identifying multi-functional types of membrane proteins

Abstract

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