Author

Rachel N. Cable

University of MichiganORCID 0000-0002-5859-5612Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

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A.J Wing· 1 shared Cecelia Batterbee· 1 shared G Eric BastieniD· 1 shared Luis ZamaniD· 1 shared Melissa Beth DuhaimeiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

A.J Wing

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1 paper

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 18, 2024

Virus-Host Interactions Predictor (VHIP): machine learning approach to resolve microbial virus-host interaction networks

G Eric Bastien, Rachel N. Cable, Luis Zaman…·Melissa Beth Duhaime

The paper introduces VHIP, a machine learning model that predicts virus-host interactions from genomic data, achieving 87.8% accuracy in predicting interactions at the species level.

24 citationstop 3%

whole-genome sequencingmachine learning (classical)

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