VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determining AMR rely on inefficient phenotypic approaches, and there remains incomplete understanding of AMR mechanisms for many pathogen-antimicrobial combinations. Given the rapid, ongoing increase in avail...

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Bibliographic Details
Main Authors: Jiwoong Kim, David E Greenberg, Reed Pifer, Shuang Jiang, Guanghua Xiao, Samuel A Shelburne, Andrew Koh, Yang Xie, Xiaowei Zhan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007511

Internet

https://doi.org/10.1371/journal.pcbi.1007511

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