Author

Grace W Kamau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Martin Ng’ang’a MuiganoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

MicrobiologybioRxivPreprintJan 25, 2026

Protein language modeling and supervised machine learning reveal the functional landscape of antimicrobial resistance genes in African metagenomes

Martin Ng’ang’a Muigano, Grace W Kamau

This study uses protein language models and machine learning to analyze antimicrobial resistance genes in African metagenomes, revealing geographic variation and key sequence features distinguishing ARGs from non-ARGs.

DOI 10.64898/2026.01.24.701459

metagenomicsdeep learning

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