Author

Jason Cory Brunson

UConn HealthORCID 0000-0003-3126-9494Unclaimed 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 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Amir M. EmtiazjooiD· 1 shared Ashish Ranjan SharmaiD· 1 shared Blake GilliD· 1 shared Carl AtkinsoniD· 1 shared Christine M. LiniD· 1 shared Dianna NordiD· 1 shared Hassan Moussa· 1 shared Logan Langerude· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Amir M. EmtiazjooORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintMay 24, 2024

Predicting Primary Graft Dysfunction in Lung Transplantation: Machine Learning-Guided Biomarker Discovery

Dianna Nord, Jason Cory Brunson, Logan Langerude…·Carl Atkinson

This study uses machine learning to identify cytokines predictive of primary graft dysfunction in lung transplantation, finding BAL fluid at 2h post-transplant as the strongest predictor.

1 citation

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 5, 2019

Sensitivity and robustness of comorbidity network analysis

Jason Cory Brunson, Thomas P. Agresta, Reinhard Laubenbacher

This study evaluates the robustness and sensitivity of comorbidity network analysis techniques across different data sources and link determination methods.

DOI 10.1101/752964

statistical modelbenchmarking

𝕏 PostBluesky