SCOPUS 정보 검색 플랫폼

Neurocomputing

Volumn 69, Issue 1-3, 2005, Pages 257-263

Hyperplanes for predicting protein-protein interactions

(1) Nanni, Loris a

a UNIVERSITY OF BOLOGNA (Italy)

Author keywords

Machine learning; Protein protein interactions

Indexed keywords

BIOLOGY; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; MATRIX ALGEBRA; PROTEINS;

K-LOCAL HYPERPLANE; PROTEIN-PROTEIN INTERACTION;

LEARNING SYSTEMS;

AMINO ACID;

ACCURACY; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; COVARIANCE; EXPERIMENTAL DESIGN; HELICOBACTER PYLORI; HUMAN; LEARNING; MATHEMATICAL COMPUTING; MOLECULAR BIOLOGY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; RELIABILITY; SENSITIVITY ANALYSIS; STOMACH; SYSTEM ANALYSIS; VALIDATION PROCESS;

EID: 27844440887 PISSN: 09252312 EISSN: None Source Type: Journal
DOI: 10.1016/j.neucom.2005.05.007 Document Type: Article

Times cited : (89)

References (9)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.