DeepTarget: End-to-end learning framework for MicroRNA target prediction using deep recurrent neural networks

ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Volumn , Issue , 2016, Pages 434-442

  Lee, Byunghan ^a   Park, Seunghyun ^a,b   Baek, Junghwan ^a   Yoon, Sungroh ^a  

^a Seoul National University   (South Korea)

^b Korea University   (South Korea)

Author keywords

Deep learning; Lstm; MicroRNA; Recurrent neural networks

Indexed keywords

BIOINFORMATICS; EXTRACTION; FEATURE EXTRACTION; FORECASTING; INFORMATION SCIENCE; LEARNING SYSTEMS; NUCLEIC ACIDS; RNA;

COMPUTATIONAL TOOLS; DEEP LEARNING; FALSE POSITIVE RATES; LEARNING FRAMEWORKS; LSTM; MICRORNA TARGET PREDICTIONS; MICRORNAS; MIRNA TARGET PREDICTIONS;

RECURRENT NEURAL NETWORKS;

EID: 85009747684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2975167.2975212     Document Type: Conference Paper

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