MOSTPLAS: a self-correction multi-label learning model for plasmid host range prediction

MOSTPLAS is implemented with Python, which can be downloaded at https://github.com/wzou96/MOSTPLAS. All relevant data we used in the experiments can be found at https://zenodo.org/doi/10.5281/zenodo.14708999.

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Publication Details

Journal
Bioinformatics
Published
2025-02-13
DOI
https://doi.org/10.1093/bioinformatics/btaf075
Citations
2
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
1.61
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article

MOSTPLAS: a self-correction multi-label learning model for plasmid host range prediction

Jiaojiao Guan, Yongxin Ji, Yanni Sun, Wei Zou
2 citations
Bioinformatics
Machine Learning in Bioinformatics
1.61
article

MOSTPLAS: a self-correction multi-label learning model for plasmid host range prediction

Jiaojiao Guan, Yongxin Ji, Yanni Sun, Wei Zou
article en
2 citations

Abstract

MOSTPLAS is implemented with Python, which can be downloaded at https://github.com/wzou96/MOSTPLAS. All relevant data we used in the experiments can be found at https://zenodo.org/doi/10.5281/zenodo.14708999.

BioinformaticsVol. 41(3)
City University of Hong Kong (HK)
Reduced inequalities
Openalex Percentile: Top 19%
Machine Learning in Bioinformatics
1.61
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