Using Random Forest algorithm to Predict β-hairpin motifs

Protein and Peptide Letters

Volumn 18, Issue 6, 2011, Pages 609-617

  Jia, Shao Chun ^a   Hu, Xiu Zhen ^a  

^a INNER MONGOLIA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Amino acids component of position; Auto correlation function; Hydropathy component of position; Predicted secondary structure information; Random forest algorithm; hairpin motif

Indexed keywords

EID: 79953297294     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986611795222777     Document Type: Article

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