Author

Margo VanOeffelen

ORCID 0000-0002-8142-7924Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

James J. DavisiD· 1 shared Marcus NguyeniD· 1 shared Maulik P. ShuklaiD· 1 shared Robert OlsoniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

James J. DavisORCID

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1 paper

Recent·Most cited

Predicting Antimicrobial Resistance Using Conserved Genes

Marcus Nguyen, Robert Olson, Maulik P. Shukla, Margo VanOeffelen, James J. Davis

This study shows that machine learning can predict antimicrobial resistance using conserved non-AMR genes from incomplete genomes, achieving F1 scores of 0.80-0.89 with 100 genes.

PLoS Computational Biology · Oct 19, 2020Peer-reviewedBioinformatics