Deep motif dashboard: Visualizing and understanding genomic sequences using deep neural networks

Pacific Symposium on Biocomputing

Volumn 0, Issue 212679, 2017, Pages 254-265

  Lanchantin, Jack ^a   Singh, Ritambhara ^a   Wang, Beilun ^a   Qi, Yanjun ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; FORECASTING; NETWORK ARCHITECTURE; STOCHASTIC SYSTEMS; VISUALIZATION;

FIRST ORDER DERIVATIVES; NEURAL NETWORK MODEL; PREDICTION ACCURACY; SITE CLASSIFICATION; STOCHASTIC GRADIENT; TRANSCRIPTION FACTOR BINDING; VISUALIZATION METHOD; VISUALIZATION TECHNIQUE;

DEEP NEURAL NETWORKS;

DNA; TRANSCRIPTION FACTOR;

ARTIFICIAL NEURAL NETWORK; BINDING SITE; BIOLOGICAL MODEL; BIOLOGY; GENETIC DATABASE; GENETICS; GENOMICS; HUMAN; HUMAN GENOME; METABOLISM; STATISTICS AND NUMERICAL DATA;

BINDING SITES; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DNA; GENOME, HUMAN; GENOMICS; HUMANS; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); TRANSCRIPTION FACTORS;

EID: 85021859501     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789813207813_0025     Document Type: Conference Paper

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