RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach

BMC Bioinformatics

Volumn 18, Issue 1, 2017, Pages

  Pan, Xiaoyong ^a   Shen, Hong Bin ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b Department of Automation   (China)

Author keywords

CLIP seq; Convolutional neural network; Deep belief network; Multimodal deep learning; RNA binding protein

Indexed keywords

ABSTRACTING; BINDING SITES; BINS; BIOCHEMISTRY; CONVOLUTION; DATA INTEGRATION; DEEP NEURAL NETWORKS; FORECASTING; INTEGRATION; LEARNING SYSTEMS; METADATA; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; NUCLEIC ACIDS; PROTEINS; RNA;

CLIP-SEQ; CONVOLUTIONAL NEURAL NETWORK; DEEP BELIEF NETWORKS; MULTI-MODAL; RNA-BINDING PROTEIN;

DEEP LEARNING;

PROTEIN BINDING; RNA; RNA BINDING PROTEIN;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BINDING SITE; CHEMISTRY; DATA MINING; MACHINE LEARNING; METABOLISM; NUCLEOTIDE MOTIF; PROCEDURES; SEQUENCE ANALYSIS; VALIDATION STUDY;

ALGORITHMS; BINDING SITES; DATA MINING; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER); NUCLEOTIDE MOTIFS; PROTEIN BINDING; RNA; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, RNA;

EID: 85014099241     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-017-1561-8     Document Type: Article

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