Predicting drug-target interactions by dual-network integrated logistic matrix factorization

Ming Hao; Stephen H. Bryant; Yanli Wang

doi:10.1038/srep40376

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Predicting drug-target interactions by dual-network integrated logistic matrix factorization

Ming Hao Stephen H. Bryant Yanli Wang

Year: 2017 Journal: Scientific Reports Vol: 7 (1)Pages: 40376-40376 Publisher: Nature Portfolio

DOI: 10.1038/srep40376

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Keywords:

Computer science Kernel (algebra) Benchmark (surveying) Smoothing Algorithm Matrix decomposition Artificial intelligence Kernel smoother Matrix (chemical analysis) Pattern recognition (psychology) Kernel method Machine learning Data mining Radial basis function kernel Mathematics Support vector machine

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Predicting drug-target interactions by dual-network integrated logistic matrix factorization

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