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 identifying multi-functional types of membrane proteins" [1]), a two-layer multi-label predictor for predicting multi-functional types of membrane proteins.
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
Shibiao
S
Wan
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
Man-Wai
MW
Mak
Department of Electrical Engineering, Princeton University, New Jersey, USA.
Sun-Yuan
SY
Kung