SCOPUS 정보 검색 플랫폼

Computers and Chemistry

Volumn 26, Issue 3, 2002, Pages 293-296

Prediction of protein structural classes by support vector machines

(4) Cai, Yu Dong a Liu, Xiao Jun b Xu, Xue Biao c Chou, Kuo Chen d

a INSTITUTE OF GEOLOGY AND GEOPHYSICS (China)

b UNIVERSITY OF EDINBURGH (United Kingdom)

c CARDIFF UNIVERSITY (United Kingdom)

d Upjohn Laboratories ^* (United States)

Author keywords

Jackknife test; Protein structural class; Self consistency; Support vector machine

Indexed keywords

AMINO ACIDS; COMPOSITION EFFECTS; COMPUTATIONAL METHODS; CORRELATION METHODS; DATA STRUCTURES; DATABASE SYSTEMS; PROTEINS; VECTORS;

SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

PROTEIN;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHEMISTRY; COMPARATIVE STUDY; PROTEIN DATABASE; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; MODELS, STATISTICAL; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); PROTEINS;

EID: 0036007085 PISSN: 00978485 EISSN: None Source Type: Journal
DOI: 10.1016/S0097-8485(01)00113-9 Document Type: Article

Times cited : (247)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.