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Volumn , Issue , 2013, Pages 1268-1271

Semi-supervised method for extraction of protein-protein interactions using hybrid model

Author keywords

K nearest neibours classifier; Machine learning; Pattern learning; Protein protein interaction; Semi supervised

Indexed keywords

BASELINE METHODS; HYBRID METHOD; HYBRID MODEL; INDIVIDUAL CHARACTERISTICS; INPUT FEATURES; K-NEAREST NEIGHBOURS; LABELED DATA; LEARNED PATTERNS; PATTERN FEATURES; PATTERN LEARNING; POOR PERFORMANCE; PROTEIN-PROTEIN INTERACTION EXTRACTIONS; PROTEIN-PROTEIN INTERACTIONS; SEMI-SUPERVISED; SEMI-SUPERVISED METHOD; SEQUENCE ALIGNMENTS; UNLABELED DATA;

EID: 84874479402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDEA.2012.298     Document Type: Conference Paper
Times cited : (5)

References (7)
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  • 4
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    • Discovering patterns to extract protein-protein interactions from full biomedical texts
    • M. Huang, X. Zhu, Y. Hao, D. G. Payan, K. Qu, and M. Li, " Discovering patterns to extract protein-protein interactions from full biomedical texts," Bioinformatics, vol. 20 (18): 3604-3612, 2004.
    • (2004) Bioinformatics , vol.20 , Issue.18 , pp. 3604-3612
    • Huang, M.1    Zhu, X.2    Hao, Y.3    Payan, D.G.4    Qu, K.5    Li, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.