Author

Erik D. VonKaenel

Pacific Northwest National LaboratoryORCID 0000-0002-8933-7413Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexis M. FeidleriD· 1 shared Ania Katarzyna MajewskaiD· 1 shared Bobbie‐Jo Webb‐RobertsoniD· 1 shared Ernesto Satoshi NakayasuiD· 1 shared Javier E. FloresiD· 1 shared Katherine M. AndershiD· 1 shared Lisa M. BrameriD· 1 shared Matthew N. McCalliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alexis M. FeidlerORCID

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2 papers

Recent·Most cited

A Benchmarking Study of Feature Screening Approaches Across Omics Classification Settings

Erik D. VonKaenel, Lisa M. Bramer, Javier E. Flores, Thomas Metz, Ernesto Satoshi Nakayasu, Bobbie‐Jo Webb‐Robertson

This paper benchmarks feature screening methods for omics data classification, finding BcorSIS to be the most effective and efficient across various datasets.

bioRxiv · Feb 26, 2026 · PreprintBioinformatics

A Model-Based Hierarchical Bayesian Approach to Sholl Analysis

Erik D. VonKaenel, Alexis M. Feidler, Rebecca L. Lowery, Katherine M. Andersh, Tanzy Love, Ania Katarzyna Majewska, Matthew N. McCall

The paper introduces a hierarchical Bayesian model for Sholl analysis to better handle hierarchical data structures in microglia morphology studies.

Bioinformatics · Mar 19, 2024Peer-reviewedNeuroscience