Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens

MOTIVATION: Reverse vaccinology (RV) is a milestone in rational vaccine design, and machine learning (ML) has been applied to enhance the accuracy of RV prediction. However, ML-based RV still faces challenges in prediction accuracy and program accessibility. RESULTS: This study presents Vaxign-ML, a...

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Bibliographic Details
Published in:Bioinformatics
Main Authors: Ong, Edison, Wang, Haihe, Wong, Mei U, Seetharaman, Meenakshi, Valdez, Ninotchka, He, Yongqun
Format: Artigo
Language:Inglês
Published: Oxford University Press 2020
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Original Papers
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7214037/
https://ncbi.nlm.nih.gov/pubmed/32096826
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa119
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