Author

Emma Bohn

ORCID 0000-0001-7966-0228Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1

Frequent Co-Authors

Omar WagihiD· 2 shared Albi CelajiD· 1 shared Andrew JungiD· 1 shared Bhargav KanuparthiiD· 1 shared Brandon VaziD· 1 shared Brendan J. Frey· 1 shared Chris ColeiD· 1 shared Daniele MericoiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Omar WagihORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 15, 2025

Sequence based prediction of cell type specific microRNA binding and mRNA degradation for therapeutic discovery

Bhargav Kanuparthi, Sara E. Pour, Scott D. Findlay…·Brendan J. Frey

This paper introduces REPRESS, a deep learning model that predicts cell-type-specific microRNA binding and mRNA degradation from RNA sequences, outperforming existing methods in multiple tasks.

3 citations

humanmouse

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Genetic & Genomic MedicineFrontiers in Molecular BiosciencesPeer-reviewedSep 8, 2023

A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction

Emma Bohn, Tammy T. Y. Lau, Omar Wagih…·Daniele Merico

The paper curates a high-confidence set of pathogenic and likely pathogenic UTR variants and evaluates deep learning models for predicting their functional impact.

10 citations

humanGWAS summary statistics

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