Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

Krisztián Búza; Ladislav Peška

doi:10.1016/j.neucom.2017.04.055

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Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

Krisztián Búza Ladislav Peška

Year: 2017 Journal: Neurocomputing Vol: 260 Pages: 284-293 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2017.04.055

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Keywords:

Computer science Machine learning Artificial intelligence Bipartite graph Drug target Similarity (geometry) Drug-drug interaction Projection (relational algebra) Set (abstract data type) Regression Data mining Drug Graph Algorithm Theoretical computer science Mathematics

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Biomedical Text Mining and Ontologies

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

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

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