Author

Karsen E. Shoger

Broad InstituteORCID 0000-0002-1894-7361Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Rachel A. GottschalkiD· 2 shared Andreas R. PfenningiD· 1 shared Ashley R. BrowniD· 1 shared BaDoi N. PhaniD· 1 shared Brandon Alan MichalidesiD· 1 shared Dmitry ProkopenkoiD· 1 shared Easwaran RamamurthyiD· 1 shared Heather H. SestiliiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenomics

Rachel A. GottschalkORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJul 11, 2025

Context-dependent regulatory variants in Alzheimer's disease

Ziheng Chen, Yaxuan Liu, Ashley R. Brown…·Andreas R. Pfenning

The paper identifies context-dependent regulatory variants in Alzheimer's disease by analyzing their effects across different cellular contexts using MPRAs and machine learning.

3 citations

humanDNA methylation

𝕏 PostBluesky

Systems BiologyCell SystemsPeer-reviewedJan 1, 2024

Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework

Neha Cheemalavagu, Karsen E. Shoger, Yuqi Cao…·Rachel A. Gottschalk

The paper predicts gene sensitivity to JAK-STAT perturbation by linking STAT phosphorylation dynamics to gene expression using a mechanistic-to-machine learning framework.

10 citations

humanbulk RNA-seq

𝕏 PostBluesky