Author

Dahim Choi

Emory UniversityORCID 0000-0001-7583-1333Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aastha Amin· 1 shared Joshua J. ManniD· 1 shared Manoj BhasiniD· 1 shared Mojtaba BakhtiariiD· 1 shared Swati Sharma BhasiniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Aastha Amin

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 11, 2026

Single-cell RNA-seq reveals conserved and divergent cellular states across wound types and species

Dahim Choi, Mojtaba Bakhtiari, Aastha Amin…·Manoj Bhasin

This study integrates single-cell data from multiple wound types and species to identify shared and distinct cellular states and develops a predictive gene signature for chronic wound healing.

DOI 10.64898/2026.07.07.737032

humanmouse

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