Prediction of protein subcellular locations using a new measure of information discrepancy

Journal of Bioinformatics and Computational Biology

Volumn 3, Issue 4, 2005, Pages 915-927

  Jin, Lixia ^a   Tang, Huanwen ^b   Fang, Weiwu ^c  

^a IOWA STATE UNIVERSITY   (United States)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^c INSTITUTE OF APPLIED MATHEMATICS   (China)

Author keywords

Amino acid composition; FDOD; Physicochemical environment; Subcellular locations

Indexed keywords

PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; BIOINFORMATICS; CELLULAR DISTRIBUTION; CONTROLLED STUDY; CYTOARCHITECTURE; EUKARYOTE; EXPERIMENTAL DESIGN; NONHUMAN; PREDICTION; PROKARYOTE; PROTEIN FUNCTION; PROTEIN LOCALIZATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; PATTERN RECOGNITION, AUTOMATED; PROTEOME; SEQUENCE ANALYSIS, PROTEIN; STRUCTURE-ACTIVITY RELATIONSHIP; SUBCELLULAR FRACTIONS;

EUKARYOTA; PROKARYOTA;

EID: 22544482924     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001399     Document Type: Article

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