GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition

Journal of Theoretical Biology

Volumn 323, Issue , 2013, Pages 40-48

  Wan, Shibiao ^a   Mak, Man Wai ^a   Kung, Sun Yuan ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Princeton University   (United States)

Author keywords

Gene ontology; GO terms; Protein subcellular localization; Support vector machines; Term frequency

Indexed keywords

ACCURACY ASSESSMENT; AMINO ACID; EFFICIENCY MEASUREMENT; GENETIC ANALYSIS; PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; ARTICLE; CELLULAR DISTRIBUTION; CLASSIFICATION; CONTROLLED STUDY; GENE ONTOLOGY; GENETIC DATABASE; INTERMETHOD COMPARISON; MOLECULAR GENETICS; PREDICTION; PRIORITY JOURNAL; PROTEIN LOCALIZATION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; SWISS-PROT;

AMINO ACIDS; ANIMALS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; HUMANS; MOLECULAR SEQUENCE ANNOTATION; REPRODUCIBILITY OF RESULTS; SOFTWARE; SUBCELLULAR FRACTIONS; SUPPORT VECTOR MACHINES;

EID: 84873955239     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2013.01.012     Document Type: Article

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