Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs

Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs

Antimicrobial peptides (AMPs) are natural peptides possessing antimicrobial activities. These peptides are important components of the innate immune system. They are found in various organisms. AMP screening and identification by experimental techniques are laborious and time-consuming tasks. Altern...

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Bibliographic Details
Main Authors: Supatcha Lertampaiporn, Tayvich Vorapreeda, Apiradee Hongsthong, Chinae Thammarongtham
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Genes
Subjects:
antimicrobial peptides
AMP prediction
heterogeneous ensemble machine learning
MaxProbVote
logistic regression
Online Access:https://www.mdpi.com/2073-4425/12/2/137

Internet

https://www.mdpi.com/2073-4425/12/2/137

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