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REMAP: a dual-regularized one class collaborative filtering algorithm for biological relation prediction
Please read the README files in each directory
benchmark - datasets used for benchmark tests
matlab_codes - matlab library for REMAP based on wiZAN-dual (ref. 2)
REFERENCES
[1] Lim, H., Poleksic, A., Yao, Y., Tong, H., He, D., Zhuang, L., Meng, P. and Xie, L., 2016. Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLOS Comput Biol, 12(10), p.e1005135.
[2] Yao, Y., Tong, H., Yan, G., Xu, F., Zhang, X., Szymanski, B.K. and Lu, J., 2014, November. Dual-regularized one-class collaborative filtering. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 759-768). ACM.
[3] Hansaim Lim, and Lei Xie. Omics data integration and analysis for systems pharmacology. Chapter 11 In Bioinformatics and Drug Discovery, 3rd Edition, Richard S. Larson, and Tudor Oprea (Editors), published by Humana Press, Springer Nature. Hardcover ISBN: 978-1-4939-9088-7, DOI: 10.1007/978-1-4939-9089-4.