Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization

Bioinformatics

Volumn 28, Issue 18, 2012, Pages 2304-2310

  Gönen, Mehmet ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CELL RECEPTOR; DRUG; ENZYME; G PROTEIN COUPLED RECEPTOR; ION CHANNEL; PROTEIN;

ALGORITHM; ARTICLE; BAYES THEOREM; CHEMISTRY; DRUG DEVELOPMENT; DRUG EFFECT; GENETICS; GENOMICS; HUMAN; SEQUENCE ANALYSIS;

ALGORITHMS; BAYES THEOREM; DRUG DISCOVERY; ENZYMES; GENOMICS; HUMANS; ION CHANNELS; PHARMACEUTICAL PREPARATIONS; PROTEINS; RECEPTORS, CYTOPLASMIC AND NUCLEAR; RECEPTORS, G-PROTEIN-COUPLED; SEQUENCE ANALYSIS, PROTEIN;

EID: 84866459051     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts360     Document Type: Article

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