The prediction of human splicing branchpoints by multi-label learning

Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016

Volumn , Issue , 2017, Pages 254-259

  Zhang, Wen ^a   Zhu, Xiaopeng ^b   Fu, Yu ^c   Tsuji, Junko ^c   Weng, Zhiping ^c  

^a WUHAN UNIVERSITY   (China)

^b Carnegie Mellon University ^*  (United States)

^c UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

Ensemble learning; Human splicing branchpoint; Multi label learning

Indexed keywords

BIOINFORMATICS; CORRELATION METHODS; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

CANONICAL CORRELATION ANALYSIS; COMPUTATIONAL EXPERIMENT; ENSEMBLE LEARNING; HUMAN SPLICING BRANCHPOINT; MACHINE LEARNING TECHNIQUES; MULTI-LABEL LEARNING; PARTIAL LEAST SQUARES REGRESSION; STATE-OF-THE-ART METHODS;

LEAST SQUARES APPROXIMATIONS;

EID: 85013288140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2016.7822527     Document Type: Conference Paper

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