Robotics & Machine Learning Daily News2024,Issue(Sep.6) :191-191.

Predicting the bacterial host range of plasmid genomes using the language model- based one-class SVM algorithm

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :191-191.

Predicting the bacterial host range of plasmid genomes using the language model- based one-class SVM algorithm

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; According to news reporting based on a preprint a bstract, our journalists obtained the followingquote sourced from biorxiv.org:“The prediction of the plasmid host range is crucial for investigating the disse mination of plasmidsand the transfer of resistance and virulence genes mediated by plasmids. Several machine learning-basedtools have been developed to predic t plasmid host ranges.“These tools have been trained and tested based on the bacterial host records of plasmids in relateddatabases. Typically, a plasmid genome in databases such as NCBI is annotated with only one or afew bacterial hosts, which does not encomp ass all possible hosts. Consequently, existing methods maysignificantly underes timate the host ranges of mobilizable plasmids.

Key words

Algorithms/Bioinformatics/Biotechnolog y/Biotechnology - Bioinformatics/Cyborgs/Emerging Technologies/Information T echnology/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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