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Volumn 20, Issue 1, 2010, Pages 13-28

Protein subcellular multi-localization prediction using a min-max modular support vector machine

Author keywords

Min max modular; Protein subcellular multi localization; Support vector machine

Indexed keywords

AMINO ACID COMPOSITIONS; AUTOMATIC PREDICTION; BIOLOGICAL PROCESS; COMPUTATIONAL BIOLOGY; CRUCIAL FUNCTIONS; DECOMPOSITION METHODS; ENSEMBLE CLASSIFIERS; FEATURE VECTORS; GENE ONTOLOGY; GENERAL PATTERNS; LOCALIZATION PROBLEMS; MIN-MAX; MIN-MAX MODULAR SUPPORT VECTOR MACHINE; MODULAR PROTEINS; PREDICTION ACCURACY; PROTEIN DATA; PROTEIN FUNCTIONS; PROTEIN SEQUENCES; PROTEIN SUBCELLULAR LOCALIZATION; SECONDARY STRUCTURES; SEMANTIC INFORMATION; SOLVENT ACCESSIBILITY; SUB-CELLULAR; SUBCELLULAR LOCALIZATIONS; SUBCELLULAR LOCATION;

EID: 77951560201     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065710002206     Document Type: Article
Times cited : (36)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.