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ppiPre: Predict Protein-Protein Interactions Based on Functional and Topological Similarities
Computing similarities between proteins based on their GO annotation, KEGG annotation and PPI network topology. It integrates seven features (TCSS, IntelliGO, Wang, KEGG, Jaccard, RA and AA) to predict PPIs using an SVM classifier. Some internal functions to calculate GO semantic similarities are re-used from R package GOSemSim authored by Guangchuang Yu.
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Package details |
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| Author | Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun |
| Maintainer | Yue Deng <anfdeng@163.com> |
| License | GPL-2 |
| Version | 1.9 |
| Package repository | View on CRAN |
| Installation |
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