Author

Hannah B. Waddel

Emory UniversityORCID 0000-0001-5970-2750Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

Brian B. NadeliD· 1 shared David Lopez· 1 shared Dennis J. MontoyaiD· 1 shared Feiyang MaiD· 1 shared Katia KoelleiD· 1 shared Matteo A. PellegriniiD· 1 shared Max S. Y. LauiD· 1 shared Misha M. KhaniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Brian B. NadelORCID

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2 papers

Recent·Most cited

Evolutionary BiologyPLoS Computational BiologyPeer-reviewedJun 10, 2025

ScTree: Scalable and robust mechanistic integration of epidemiological and genomic data for transmission tree inference

Hannah B. Waddel, Katia Koelle, Max S. Y. Lau

ScTree improves scalability and accuracy of phylodynamic models for transmission tree inference by using a Bayesian framework with infinite-sites mutation modeling.

1 citation

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedJan 29, 2021

The Gene Expression Deconvolution Interactive Tool (GEDIT): Accurate Cell Type Quantification from Gene Expression Data

Brian B. Nadel, David Lopez, Dennis J. Montoya…·Matteo A. Pellegrini

GEDIT estimates cell type abundances from gene expression data, outperforming existing tools across multiple platforms and tissue types.

59 citationstop 5%

humanmouse

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