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Volumn 9, Issue , 2008, Pages
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ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
a
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Author keywords
[No Author keywords available]
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Indexed keywords
AMINO ACID COMPOSITIONS;
ENSEMBLE CLASSIFIERS;
NOVEL GENETIC ALGORITHM;
PROTEIN SUBCELLULAR LOCALIZATION;
PSEUDO AMINO ACID COMPOSITIONS;
SUBCELLULAR COMPARTMENTS;
SUBCELLULAR LOCALIZATIONS;
SUBNUCLEAR LOCALIZATION;
AMINO ACIDS;
CYTOLOGY;
FORECASTING;
GENES;
SUPPORT VECTOR MACHINES;
PROTEINS;
CELL PROTEIN;
PROTEIN;
ACCURACY;
AMINO ACID COMPOSITION;
AMINO ACID SEQUENCE;
ARTICLE;
CELL COMPARTMENTALIZATION;
CELL ORGANELLE;
CELLULAR DISTRIBUTION;
CLASSIFICATION ALGORITHM;
COMPUTER PREDICTION;
COMPUTER PROGRAM;
DATA ANALYSIS SOFTWARE;
DATA MINING;
EUK-OET-PLOC;
HUM-PLOC;
HUMAN;
HUMAN CELL;
INFORMATION RETRIEVAL;
INTERMETHOD COMPARISON;
NONHUMAN;
PROLOC-GENE ONTOLOGY;
PROTEIN ANALYSIS;
PROTEIN DATABASE;
PROTEIN LOCALIZATION;
SUPPORT VECTOR MACHINE;
ALGORITHM;
AUTOMATED PATTERN RECOGNITION;
BIOLOGY;
CELL;
METABOLISM;
METHODOLOGY;
PHYSIOLOGY;
SEQUENCE ANALYSIS;
STRUCTURE ACTIVITY RELATION;
EUKARYOTA;
ALGORITHMS;
CELLS;
COMPUTATIONAL BIOLOGY;
DATABASES, PROTEIN;
PATTERN RECOGNITION, AUTOMATED;
PROTEINS;
SEQUENCE ANALYSIS, PROTEIN;
SOFTWARE;
STRUCTURE-ACTIVITY RELATIONSHIP;
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EID: 40249110012
PISSN: None
EISSN: 14712105
Source Type: Journal
DOI: 10.1186/1471-2105-9-80 Document Type: Article |
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Times cited : (106)
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References (44)
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