Author

Edel Aron

Yale UniversityORCID 0000-0002-8683-4772Unclaimed 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· 5 Organism:human· 4 Assay:scRNA-seq· 4 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:dimensionality reduction· 2 Research Focus:software / tool· 2

Frequent Co-Authors

Steven H. KleinsteiniD· 4 shared Anna KonstorumiD· 2 shared Gisela GabernetiD· 2 shared Gur YaariiD· 2 shared Hailong MengiD· 2 shared Alexander PeltzeriD· 1 shared Alexia A. BelperroniD· 1 shared Burhanuddin SabuwalaiD· 1 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersBioinformatics

Steven H. KleinsteinORCID

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5 papers

Recent·Most cited

Cell-level integration of gene expression and B cell receptor data captures complementary B cell information

E Aron, Gisela Gabernet, Burhanuddin Sabuwala, Gur Yaari, Steven Kleinstein

The paper integrates gene expression and B cell receptor data to capture complementary B cell information, revealing substructure supported by both transcriptional and receptor features.

bioRxiv · Oct 22, 2026 · PreprintBioinformatics

Single cell immunophenotyping identifies CD8+ GZMK+ IFNG+ T cells as a key immune population in cutaneous Lyme disease

Edel Aron, Hailong Meng, Alexia A. Belperron, Paraskevas Filippidis, Kenneth R. Dardick, Steven H. Kleinstein, Linda K. Bockenstedt

The paper uses scRNA-seq to analyze T cell responses in cutaneous Lyme disease, identifying CD8+ GZMK+ IFNG+ T cells as a key immune population with inflammatory properties.

JCI Insight · Feb 23, 2026Peer-reviewedImmunology

nipalsMCIA: Flexible Multi-Block Dimensionality Reduction in R via Nonlinear Iterative Partial Least Squares

Max Mattessich, Joaquin Reyna, Edel Aron, Ferhat Ay, Misha E. Kilmer, Steven H. Kleinstein, Anna Konstorum

The paper introduces nipalsMCIA, a tool for multi-omics dimensionality reduction that improves speed and flexibility over existing methods for single-cell data.

Bioinformatics · Dec 26, 2024Peer-reviewedBioinformatics

nf-core/airrflow: an adaptive immune receptor repertoire analysis workflow employing the Immcantation framework

Gisela Gabernet, Susanna Marquez, Robert D. Bjornson, Alexander Peltzer, Hailong Meng, Edel Aron, Noah Yann Lee, Cole G. Jensen, David Ladd, Mark Polster, Friederike Hanssen, Simon Heumos, nf-core community, Gur Yaari, Markus Christian Kowarik, , Steven H. Kleinstein

The paper introduces nf-core/airrflow, a Nextflow-based workflow for processing AIRR-seq data, validated on simulated and real datasets to analyze immune receptor repertoires.

PLoS Computational Biology · Jul 26, 2024Peer-reviewedBioinformatics

A supervised Bayesian factor model for the identification of multi-omics signatures

Jeremy P. Gygi, Anna Konstorum, Shrikant Pawar, E Aron, Steven H. Kleinstein, Leying Guan

This paper introduces a supervised Bayesian factor model to improve multi-omics signature discovery by integrating dimensionality reduction and predictive modeling.

Bioinformatics · Apr 10, 2024Peer-reviewedBioinformatics