Reproducible drug repurposing: When similarity does not suffice

Pacific Symposium on Biocomputing

Volumn 0, Issue , 2017, Pages 132-143

  Guney, Emre ^a  

^a INSTITUTE FOR RESEARCH IN BIOMEDICINE   (Spain)

Author keywords

Drug repurposing; Drug similarity; Machine learning; Stratified disjoint cross validation

Indexed keywords

BENCHMARKING; FORECASTING; HIGH LEVEL LANGUAGES; LEARNING SYSTEMS; MACHINE LEARNING; STATISTICAL TESTS;

CHEMICAL EFFECT; CROSS VALIDATION; DATA SET; DRUG REPURPOSING; DRUG SIMILARITY; MACHINE-LEARNING; PREDICTION ACCURACY; REPURPOSING; SIDE EFFECT; STRATIFIED DISJOINT CROSS VALIDATION;

PYTHON;

BIOLOGY; DRUG DATABASE; DRUG DEVELOPMENT; DRUG REPOSITIONING; HUMAN; MACHINE LEARNING; PROCEDURES; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; DATABASES, PHARMACEUTICAL; DRUG DISCOVERY; DRUG REPOSITIONING; HUMANS; MACHINE LEARNING; REPRODUCIBILITY OF RESULTS;

EID: 85024396369     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789813207813_0014     Document Type: Conference Paper

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