Machine learning in genomic medicine: A review of computational problems and data sets

Proceedings of the IEEE

Volumn 104, Issue 1, 2016, Pages 176-197

  Leung, Michael K K ^a   Delong, Andrew ^a   Alipanahi, Babak ^a   Frey, Brendan J ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b CANADIAN INSTITUTE FOR ADVANCED RESEARCH   (Canada)

Author keywords

Computational biology; deep learning; genetic variants; genome analysis; genome biology; genomic medicine; machine learning; precision medicine

Indexed keywords

BIOLOGY; DISEASE CONTROL; GENE EXPRESSION; GENETIC ALGORITHMS; LEARNING SYSTEMS; MACHINE LEARNING; NUCLEIC ACIDS;

CAUSAL EXPLANATIONS; COMPUTATIONAL BIOLOGY; COMPUTATIONAL PROBLEM; COMPUTATIONAL TECHNIQUE; GENETIC VARIANTS; GENOME ANALYSIS; HIGH-THROUGHPUT MEASUREMENTS; LARGE SCALE DATA SETS;

DEEP LEARNING;

EID: 84949818508     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/JPROC.2015.2494198     Document Type: Review

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