Titlebook: Computational Methods for Drug Repurposing; Quentin Vanhaelen Book 2019 Springer Science+Business Media, LLC, part of Springer Nature 2019

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1064-3745 al, .Computational Methods for Drug Repurposing. serves as an ideal guide to researchers interested in this vital area of drug development..978-1-4939-8955-3Series ISSN 1064-3745 Series E-ISSN 1940-6029

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A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multrces of biological information simultaneously. The Kronecker regularized least squares with multiple kernel learning (KronRLS-MKL) is a machine learning algorithm that aims at integrating heterogeneous information sources into a single chemogenomic space to predict new drug-target interactions. This

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Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning,nent relationships among the millions of relationships suggested to the related researchers for further investigation. The main advantages of Heter-LP are the effective integration of input data, eliminating the need for negative samples, and the use of local and global features together. The main s

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