Author

Jeffrey D. Blume

University of VirginiaORCID 0000-0001-5953-745XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Andrew Michael GlazeriD· 1 shared Anna HuangiD· 1 shared Armin SchwartzmaniD· 1 shared Brett M. KronckeiD· 1 shared Dan M. RodeniD· 1 shared Derek K. SmithiD· 1 shared Jeremy Stephens· 1 shared Kaidi KangiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Andrew Michael GlazerORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 12, 2023

Evaluation of resampling-based inference for topological features of neuroimages

Simon Vandekar, Kaidi Kang, Neil D. Woodward…·Jeffrey D. Blume

The paper evaluates resampling methods for neuroimage topological features, finding that wild bootstrap and permutation perform well in larger samples, while GRF-based methods have inflated error rates.

DOI 10.1101/2023.12.12.571377

imagingstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintMar 7, 2019

A Bayesian method using sparse data to estimate penetrance of disease-associated genetic variants

Brett M. Kroncke, Derek K. Smith, Andrew Michael Glazer…·Jeffrey D. Blume

The paper develops a Bayesian method to estimate penetrance of disease-associated variants using sparse data and applies it to SCN5A variants in Brugada syndrome.

1 citation

humanDNA methylation

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