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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-09-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340916303122 |
| _version_ | 1811228493731594240 |
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| author | Shibiao Wan Man-Wai Mak Sun-Yuan Kung |
| author_facet | Shibiao Wan Man-Wai Mak Sun-Yuan Kung |
| author_sort | Shibiao Wan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T09:59:50Z |
| format | Article |
| id | doaj.art-6311e22b2b354988a2451d88e9a9946d |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-12T09:59:50Z |
| publishDate | 2016-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-6311e22b2b354988a2451d88e9a9946d2022-12-22T03:37:36ZengElsevierData in Brief2352-34092016-09-018105107Benchmark data for identifying multi-functional types of membrane proteinsShibiao Wan0Man-Wai Mak1Sun-Yuan Kung2Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Corresponding authors.Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Corresponding authors.Department of Electrical Engineering, Princeton University, New Jersey, USAIdentifying 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.http://www.sciencedirect.com/science/article/pii/S2352340916303122 |
| spellingShingle | Shibiao Wan Man-Wai Mak Sun-Yuan Kung Benchmark data for identifying multi-functional types of membrane proteins Data in Brief |
| title | Benchmark data for identifying multi-functional types of membrane proteins |
| title_full | Benchmark data for identifying multi-functional types of membrane proteins |
| title_fullStr | Benchmark data for identifying multi-functional types of membrane proteins |
| title_full_unstemmed | Benchmark data for identifying multi-functional types of membrane proteins |
| title_short | Benchmark data for identifying multi-functional types of membrane proteins |
| title_sort | benchmark data for identifying multi functional types of membrane proteins |
| url | http://www.sciencedirect.com/science/article/pii/S2352340916303122 |
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