Machine Learning for Microbiologists

Overview

Journal Nat Rev Microbiol

Specialties Infectious Diseases
Microbiology

Date 2023 Nov 15

PMID 37968359

Authors

Francesco Asnicar

Andrew Maltez Thomas

Andrea Passerini

Levi Waldron

Nicola Segata

Affiliations

Soon will be listed here.

Abstract

Machine learning is increasingly important in microbiology where it is used for tasks such as predicting antibiotic resistance and associating human microbiome features with complex host diseases. The applications in microbiology are quickly expanding and the machine learning tools frequently used in basic and clinical research range from classification and regression to clustering and dimensionality reduction. In this Review, we examine the main machine learning concepts, tasks and applications that are relevant for experimental and clinical microbiologists. We provide the minimal toolbox for a microbiologist to be able to understand, interpret and use machine learning in their experimental and translational activities.

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