Author

Joan T. Price

University of North Carolina at Chapel HillORCID 0000-0003-4178-0405Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Maros· 1 shared Alexander P. KeiliD· 1 shared Atiqur RahmaniD· 1 shared Bellington VwalikaiD· 1 shared Bing MaiD· 1 shared Breanna Shirtliff· 1 shared David A. RelmaniD· 1 shared E. McComb· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

A. Maros

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintMar 4, 2025

VIRGO2: Unveiling the Functional and Ecological Complexity of the Vaginal Microbiome with an Enhanced Non-Redundant Gene Catalog

Michael France, Issac Chaudry, Lindsay Rutt…·Jacques Ravel

This study introduces VIRGO2, an enhanced gene catalog for the vaginal microbiome, revealing new bacterial species, mycobiome features, and gene expression patterns.

13 citations

humanmetagenomics

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedFeb 27, 2019

Improving preterm newborn identification in low-resource settings with machine learning

Katelyn Rittenhouse, Bellington Vwalika, Alexander P. Keil…·Jeffrey S. A. Stringer

The paper develops a machine learning model to improve preterm newborn identification in low-resource settings using readily available maternal and birth data.

63 citationstop 2%

humanmachine learning (classical)

𝕏 PostBluesky