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Katrin Rhodes Ericson

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

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Alexander G. BickiD· 1 shared Alyssa ParkeriD· 1 shared Anupriya AgarwaliD· 1 shared David E. OngiD· 1 shared Esther A. ObengiD· 1 shared Hannah K. GianniniiD· 1 shared Jonathan Brett HeimlichiD· 1 shared Joseph C. Van AmburgiD· 1 shared

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Alexander G. BickORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 8, 2025

Closing the loop: Teaching single-cell foundation models to learn from perturbations

Yash Pershad, Tarak Nandi, Joseph C. Van Amburg…·Alexander G. Bick

The paper introduces a closed-loop framework for single-cell foundation models that incorporates perturbation data to improve prediction accuracy, identifying therapeutic targets and pathways in RUNX1-familial platelet disorder.

3 citations

humanscRNA-seq

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