Author

Emily Kunce Stroup

Northwestern UniversityORCID 0000-0001-8053-0295Unclaimed ORCID profile · follow to get notified of new preprints

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Emily Kunce Stroup1 paper

Biology Disciplines

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Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:yeast· 1

Frequent Co-Authors

Zhe JiiD· 2 shared Alfred L. GeorgeiD· 1 shared Carlos G. VanoyeiD· 1 shared Christine Q. Simmons· 1 shared Dalton HueyiD· 1 shared Eduardo GuadarramaiD· 1 shared Jean‐Marc DeKeyseriD· 1 shared Qianru Li· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersMolecular Biology

Zhe JiORCID

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2 papers

Recent·Most cited

Molecular BiologyProceedings of the National Academy of SciencesPeer-reviewedAug 18, 2026

An upstream open reading frame represses translation of the neuronal potassium channel KCNQ2

Dalton Huey, Eduardo Guadarrama, Jean‐Marc DeKeyser…·Alfred L. George

This study identifies a uORF in KCNQ2 that represses translation and shows that disrupting it enhances protein expression, with implications for disease and therapy.

1 citation

humanexperimental assay

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GenomicsGenome ResearchPeer-reviewedJul 1, 2024

Delineating yeast cleavage and polyadenylation signals using deep learning

Emily Kunce Stroup, Zhe Ji

This study uses deep learning to analyze polyadenylation signals in yeast, revealing differences in cleavage heterogeneity and motif configurations between Saccharomyces cerevisiae and Schizosaccharomyces pombe.

6 citations

yeastDNA methylation

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