Predicting the classification of transcription factors by incorporating their binding site properties into a novel mode of Chou's pseudo amino acid composition

Protein and Peptide Letters

Volumn 19, Issue 11, 2012, Pages 1170-1176

  Ren, Liang Yun ^a   Zhang, Yu Sen ^a   Gutman, Ivan ^b  

^a SHANDONG UNIVERSITY   (China)

^b UNIVERSITY OF KRAGUJEVAC   (Serbia)

Author keywords

Classification; Nucleosome; SVM; TFBS; Transcription factor

Indexed keywords

TRANSCRIPTION FACTOR;

ACCURACY; AMINO ACID COMPOSITION; ARTICLE; BINDING SITE; CLASSIFICATION; COMPUTER PREDICTION; DNA BASE COMPOSITION; INFORMATION SERVICE; INTERNET; JACKKNIFE TEST; NUCLEOSOME; PSEUDO AMINO ACID COMPOSITION; SUPPORT VECTOR MACHINE; TRANSCRIPTION FACTOR BINDING SITE;

AMINO ACIDS; ANIMALS; BASE COMPOSITION; BINDING SITES; COMPUTATIONAL BIOLOGY; DROSOPHILA; DROSOPHILA PROTEINS; FUNGAL PROTEINS; MODELS, CHEMICAL; NUCLEOSOMES; SUPPORT VECTOR MACHINES; TRANSCRIPTION FACTORS; YEASTS;

EID: 84868033411     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986612803217088     Document Type: Article

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