Author

Stephen Keegan

Jackson LaboratoryORCID 0000-0002-0439-4727Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Assay:proteomics· 1

Frequent Co-Authors

Gregory A. CaryiD· 2 shared Gregory W. CarteriD· 2 shared Allan I. LeveyiD· 1 shared Anna K. GreenwoodiD· 1 shared Frank M. LongoiD· 1 shared Hong WangiD· 1 shared Jake GockleyiD· 1 shared Jesse C. WileyiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersSystems Biology

Gregory A. CaryORCID

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2 papers

Recent·Most cited

Systems BiologyAlzheimer s & DementiaPeer-reviewedJun 1, 2026

Mapping cross-domain drivers of Alzheimer's disease risk through integrated network analysis

Gregory A. Cary, Stephen Keegan, Jesse C. Wiley…·Gregory W. Carter

The paper identifies cross-domain drivers of Alzheimer's disease risk by integrating network analysis across biological domains.

1 citation

humanstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 23, 2024

An explainable graph neural network approach for effectively integrating multi-omics with prior knowledge to identify biomarkers from interacting biological domains

Rohit K. Tripathy, Zachary Frohock, Hong Wang…·Yi Li

The paper introduces a graph neural network framework that integrates multi-omics data with biological priors to identify biomarkers in Alzheimer's disease.

6 citations

humanbulk RNA-seq

𝕏 PostBluesky