Author

Hemant D. Tagare

Yale UniversityORCID 0000-0001-9421-0612Unclaimed ORCID profile · follow to get notified of new preprints

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Hemant D. Tagare1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Christopher J. F. CameroniD· 1 shared Fred J. SigworthiD· 1 shared Jonathan KossiD· 1 shared Mark GersteiniD· 1 shared Sebastian JH SeageriD· 1 shared Sule TinaziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

Christopher J. F. CameronORCID

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2 papers

Recent·Most cited

Bioinformaticsnpj Parkinson s DiseasePeer-reviewedJun 11, 2026

Denoised MDS-UPDRS Part-III Scores Yield New Patterns of Progression Heterogeneity in Early Stage Parkinson's Disease

Jonathan Koss, Sule Tinaz, Hemant D. Tagare

This paper denoises MDS-UPDRS Part-III scores and performs high-dimensional analysis to show progression heterogeneity in Parkinson's disease is continuous and along two axes, not clustered subtypes.

DOI 10.1038/s41531-026-01369-w

humanstatistical model

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BioinformaticsCommunications BiologyPeer-reviewedOct 31, 2024

REPIC -- an ensemble learning methodology for cryo-EM particle picking

Christopher J. F. Cameron, Sebastian JH Seager, Fred J. Sigworth…·Mark Gerstein

REPIC uses ensemble learning to identify high-quality cryo-EM particles by consensus, reducing manual effort and improving consistency across different pickers.

6 citations

electronic health recordsmachine learning (classical)

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