Author

Carolyn Jean Presley

The Ohio State UniversityORCID 0000-0002-2607-5639Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Andrea AparicioiD· 1 shared Andrew V. PapachristosiD· 1 shared Andrew ZhangiD· 1 shared Ann T. GreeneiD· 1 shared Ashley Elizabeth RoskoiD· 1 shared Christin Elizabeth BurdiD· 1 shared Daniel J. SpakowicziD· 1 shared Donghoon LeeiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Andrea AparicioORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJul 17, 2026

Regulatory mode and enhancer architecture determine limits of blood DNA methylation as a molecular proxy

Varun Bhamidipati Dwaraka, Max Melnikas, Sayf Al-Deen Hassouneh…·Christin Elizabeth Burd

The paper shows that blood DNA methylation can predict gene expression based on regulatory mode and enhancer architecture, with lineage genes being more predictable than stimulus-responsive genes.

DOI 10.64898/2026.07.14.738581

humanDNA methylation

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedAug 23, 2021

Bayesian Structural Time Series for Biomedical Sensor Data: A Flexible Modeling Framework for Evaluating Interventions

Jason J. Liu, Daniel J. Spakowicz, Garrett I. Ash…·Mark Gerstein

This paper applies Bayesian structural time series to biomedical sensor data to evaluate interventions, showing its effectiveness in assessing treatment impacts with complex covariates.

25 citations

statistical modelbenchmarking

𝕏 PostBluesky