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Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs.
Lertampaiporn, Supatcha; Vorapreeda, Tayvich; Hongsthong, Apiradee; Thammarongtham, Chinae.
Affiliation
  • Lertampaiporn S; National Center for Genetic Engineering and Biotechnology, Biochemical Engineering and Systems Biology Research Group, National Science and Technology Development Agency, King Mongkut's University of Technology Thonburi, Khun Thian Bangkok 10150, Thailand.
  • Vorapreeda T; National Center for Genetic Engineering and Biotechnology, Biochemical Engineering and Systems Biology Research Group, National Science and Technology Development Agency, King Mongkut's University of Technology Thonburi, Khun Thian Bangkok 10150, Thailand.
  • Hongsthong A; National Center for Genetic Engineering and Biotechnology, Biochemical Engineering and Systems Biology Research Group, National Science and Technology Development Agency, King Mongkut's University of Technology Thonburi, Khun Thian Bangkok 10150, Thailand.
  • Thammarongtham C; National Center for Genetic Engineering and Biotechnology, Biochemical Engineering and Systems Biology Research Group, National Science and Technology Development Agency, King Mongkut's University of Technology Thonburi, Khun Thian Bangkok 10150, Thailand.
Genes (Basel) ; 12(2)2021 01 21.
Article in En | MEDLINE | ID: mdl-33494403
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Antimicrobial Cationic Peptides / Databases, Genetic / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Genes (Basel) Year: 2021 Document type: Article Affiliation country: Thailand Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Antimicrobial Cationic Peptides / Databases, Genetic / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Genes (Basel) Year: 2021 Document type: Article Affiliation country: Thailand Country of publication: Switzerland