Benchmark data for identifying multi-functional types of membrane proteins

Shibiao Wan, Man Wai Mak, Sun Yuan Kung

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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 languageEnglish (US)
Pages (from-to)105-107
Number of pages3
JournalData in Brief
Volume8
DOIs
StatePublished - Sep 1 2016

All Science Journal Classification (ASJC) codes

  • General

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