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Volumn 84, Issue 2, 2002, Pages 343-348

Support Vector Machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect

Author keywords

Protein subcellular location; Quasi sequence order effect; Support Vector Machines

Indexed keywords

ALGORITHM; ARTICLE; CELL COMPARTMENTALIZATION; CELL MEMBRANE; CELL NUCLEUS; CELL VACUOLE; CELLULAR DISTRIBUTION; CHLOROPLAST; CYTOPLASM; CYTOSKELETON; ENDOPLASMIC RETICULUM; EXTRACELLULAR SPACE; GOLGI COMPLEX; LYSOSOME; MITOCHONDRION; PEROXISOME; PREDICTION; PRIORITY JOURNAL; PROTEIN LOCALIZATION;

EID: 0035672036     PISSN: 07302312     EISSN: None     Source Type: Journal    
DOI: 10.1002/jcb.10030     Document Type: Article
Times cited : (115)

References (20)
  • 4
    • 0029051959 scopus 로고
    • A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space
    • (1995) Proteins , vol.21 , Issue.4 , pp. 319-344
    • Chou, K.C.1
  • 16
    • 0028239038 scopus 로고
    • Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies
    • (1994) J Mol Biol , vol.238 , Issue.1 , pp. 54-61
    • Nakashima, H.1    Nishikawa, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.