Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning

Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning

Summary: Whole genome sequencing of bacteria is important to enable strain classification. Using entire genomes as an input to machine learning (ML) models would allow rapid classification of strains while using information from multiple genetic elements. We developed a “bag-of-words” approach to en...

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Bibliographic Details
Main Authors: Marco Podda, Simone Bonechi, Andrea Palladino, Mattia Scaramuzzino, Alessandro Brozzi, Guglielmo Roma, Alessandro Muzzi, Corrado Priami, Alina Sîrbu, Margherita Bodini
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Microbial genomics
Classification of bioinformatical subject
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224004784

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http://www.sciencedirect.com/science/article/pii/S2589004224004784

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