Improving compound-protein interaction prediction by building up highly credible negative samples

Bioinformatics

Volumn 31, Issue 12, 2015, Pages i221-i229

  Liu, Hui ^a,b   Sun, Jianjiang ^c   Guan, Jihong ^d   Zheng, Jie ^b   Zhou, Shuigeng ^c  

^a CHANGZHOU UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c FUDAN UNIVERSITY   (China)

^d TONGJI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CAENORHABDITIS ELEGANS;

DRUG; PROTEIN;

AMINO ACID SEQUENCE; BAYES THEOREM; CHEMISTRY; COMPUTER SIMULATION; DRUG DEVELOPMENT; EVALUATION STUDY; HUMAN; PROTEIN ANALYSIS; PROTEIN DATABASE; SUPPORT VECTOR MACHINE;

AMINO ACID SEQUENCE; BAYES THEOREM; COMPUTER SIMULATION; DATABASES, PROTEIN; DRUG DISCOVERY; HUMANS; PHARMACEUTICAL PREPARATIONS; PROTEIN INTERACTION MAPPING; PROTEINS; SUPPORT VECTOR MACHINE;

EID: 84931056137     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv256     Document Type: Conference Paper

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