A novel representation for apoptosis protein subcellular localization prediction using support vector machine

Journal of Theoretical Biology

Volumn 259, Issue 2, 2009, Pages 361-365

  Zhang, Li ^a   Liao, Bo ^a   Li, Dachao ^b   Zhu, Wen ^a  

^a HUNAN UNIVERSITY   (China)

^b HAINAN NORMAL UNIVERSITY   (China)

Author keywords

Apoptosis protein; Distance frequency; Local features; Subcellular location; Support vector machine

Indexed keywords

AMINO ACID; APOPTOSIS PROTEIN; PROTEIN; UNCLASSIFIED DRUG;

APOPTOSIS; CYTOLOGY; PREDICTION; PROTEIN;

AMINO ACID SEQUENCE; ANALYTIC METHOD; APOPTOSIS; ARTICLE; CELLULAR DISTRIBUTION; CONTROLLED STUDY; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; PROTEIN LOCALIZATION; PROTEIN STRUCTURE; SUPPORT VECTOR MACHINE;

ALGORITHMS; ANIMALS; APOPTOSIS; APOPTOSIS REGULATORY PROTEINS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; INTRACELLULAR SPACE; PATTERN RECOGNITION, AUTOMATED;

EID: 67349230921     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2009.03.025     Document Type: Article

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