Author

Kyle D. Howey

University of Minnesota

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Manci LiiD· 1 shared Peter A. LarseniD· 1 shared Peter R. ChristensoniD· 1 shared Sang‐Hyun OhiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Manci LiORCID

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1 paper

Recent·Most cited

AI-QuIC: Machine Learning for Automated Detection of Misfolded Proteins in Seed Amplification Assays

Kyle D. Howey, Manci Li, Peter R. Christenson, Peter A. Larsen, Sang‐Hyun Oh

AI-QuIC automates RT-QuIC assay analysis for misfolded protein detection, achieving high sensitivity and specificity using deep learning on a large prion dataset.

npj Biosensing · Apr 8, 2025Peer-reviewedBioinformatics