An explainable machine learning pipeline for prediction of antimicrobial resistance in <i>Pseudomonas aeruginosa</i>

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf190
Citations
2
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.47

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article

An explainable machine learning pipeline for prediction of antimicrobial resistance in Pseudomonas aeruginosa

Manish Kumar, Govinda Rao Dabburu, Neelja Singhal, B. Samanta et al.
2 citations
Bioinformatics Advances
Machine Learning in Bioinformatics
0.47
article

An explainable machine learning pipeline for prediction of antimicrobial resistance in Pseudomonas aeruginosa

Manish Kumar, Govinda Rao Dabburu, Neelja Singhal, B. Samanta, Aakriti Jain
article en
2 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
University of Delhi (IN), National Institute of Technology Durgapur (IN)
Indian Council of Medical Research, University Grants Commission, University of Delhi
Openalex Percentile: Top 33%
Machine Learning in Bioinformatics
0.47
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