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Volumn 21, Issue 7, 2005, Pages 1020-1027

Predicting fold novelty based on ProtoNet hierarchical classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONFIDENCE INTERVAL; CONTROLLED STUDY; INTERMETHOD COMPARISON; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN STRUCTURE; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STRUCTURAL GENOMICS; VALIDATION PROCESS;

EID: 16344382936     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti135     Document Type: Article
Times cited : (6)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.