HybridGO-Loc: Mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins

PLoS ONE

Volumn 9, Issue 3, 2014, Pages

  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

[No Author keywords available]

Indexed keywords

PROTEIN; VEGETABLE PROTEIN; VIRUS PROTEIN;

ARTICLE; CELLULAR DISTRIBUTION; DATA MINING; GENE FREQUENCY; GENE ONTOLOGY; GENE VECTOR; GENETIC DATABASE; HYBRIDIZATION; MATHEMATICAL MODEL; ONLINE SYSTEM; PREDICTION; PROTEIN ANALYSIS; PROTEIN LOCALIZATION; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; WEB BROWSER; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; CONTROLLED VOCABULARY; MOLECULAR GENETICS; PLANT; PLANT CELL; PROTEIN DATABASE; SEQUENCE ANALYSIS; STATISTICS AND NUMERICAL DATA; VIROLOGY; VIRUS;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENE ONTOLOGY; MOLECULAR SEQUENCE ANNOTATION; PLANT CELLS; PLANT PROTEINS; PLANTS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SUPPORT VECTOR MACHINES; VIRAL PROTEINS; VIRUSES; VOCABULARY, CONTROLLED;

EID: 84898638339     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0089545     Document Type: Article

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