Author

Krishna Brunton

University of California San DiegoORCID 0009-0008-7197-014XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Michelle Franc RagsaciD· 1 shared Tiffany AmariutaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperGenetic & Genomic Medicine

Michelle Franc RagsacORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintFeb 25, 2026

Leveraging genome-wide effects on gene expression to identify disease-critical genes with trans-genetic components

Krishna Brunton, Michelle Franc Ragsac, Tiffany Amariuta

This paper introduces EGRET, a framework that models both cis and trans-eQTLs to improve gene expression prediction and disease gene discovery, finding it outperforms existing methods in identifying disease-critical genes.

DOI 10.64898/2026.02.23.26346922

humanbulk RNA-seq

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