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Wan S, Mak MW, Kung SY. Benchmark data for identifying multi-functional types of membrane proteins. Data Brief. 2016;8:105-7doi: 10.1016/j.dib.2016.05.024.
Wan, S., Mak, M. W., & Kung, S. Y. (2016). Benchmark data for identifying multi-functional types of membrane proteins. Data in brief, 8105-7. https://doi.org/10.1016/j.dib.2016.05.024
Wan, Shibiao, et al. "Benchmark data for identifying multi-functional types of membrane proteins." Data in brief vol. 8 (2016): 105-7. doi: https://doi.org/10.1016/j.dib.2016.05.024
Wan S, Mak MW, Kung SY. Benchmark data for identifying multi-functional types of membrane proteins. Data Brief. 2016 May 21;8:105-7. doi: 10.1016/j.dib.2016.05.024. eCollection 2016 Sep. PMID: 27294176; PMCID: PMC4889873.
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Data Brief. 2016 May 21;8:105-7. doi: 10.1016/j.dib.2016.05.024. eCollection 2016 Sep.

Benchmark data for identifying multi-functional types of membrane proteins.

Data in brief

Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung

Affiliations

  1. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
  2. Department of Electrical Engineering, Princeton University, New Jersey, USA.

PMID: 27294176 PMCID: PMC4889873 DOI: 10.1016/j.dib.2016.05.024

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.

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