Author

J. L. Rakeman

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

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. L. Hicks· 1 shared L. Sanchez-Buso· 1 shared N. Wheeler· 1 shared S. R. Harris· 1 shared Y. H. Grad· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperMicrobiology

A. L. Hicks

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1 paper

Recent·Most cited

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data

A. L. Hicks, N. Wheeler, L. Sanchez-Buso, J. L. Rakeman, S. R. Harris, Y. H. Grad

This study evaluates factors affecting machine learning models' performance in predicting antibiotic resistance from whole genome sequencing data across multiple bacterial species.

PLOS Computational Biology · Sep 3, 2019Peer-reviewedMicrobiology