Author

Yvon Woappi

Columbia University Irving Medical CenterORCID 0000-0003-3177-4730Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1

Frequent Co-Authors

Dreyton AmadoriD· 3 shared Jonathan Chin CheongiD· 2 shared Simon Van Deursen· 2 shared Ashley G. Njiru· 1 shared Bianca DumitrascuiD· 1 shared James M. PowersiD· 1 shared Jose Pomarino Nima· 1 shared Mark D. RobinsoniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersCell Biology

Dreyton AmadorORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cell BiologybioRxivPreprintJan 16, 2026

4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions

Jonathan Chin Cheong, Simon Van Deursen, Dreyton Amador…·Yvon Woappi

The paper presents OWHA, a 4D multimodal atlas of wound healing in mice, revealing a conserved Basal IV/SEMA3C circuit that coordinates repair, and shows its disruption in diabetic wounds.

1 citation

mousesnRNA-seq

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Cancer BiologybioRxivPreprintSep 17, 2025

RESTRICT-seq enables time-gated CRISPR screens and uncovers novel epigenetic dependencies of SCC resistance

Dreyton Amador, James M. Powers, Ashley G. Njiru…·Yvon Woappi

RESTRICT-seq improves CRISPR screens by restricting Cas9 activity in time-gated cycles, revealing novel epigenetic drivers of cSCC resistance.

DOI 10.1101/2025.09.17.676440

humanmouse

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GenomicsbioRxivPreprintDec 23, 2024

Patches: A Representation Learning framework for Decoding Shared and Condition-Specific Transcriptional Programs in Wound Healing

Ozgur Beker, Simon Van Deursen, Michel Tarnow…·Bianca Dumitrascu

Patches decodes shared and condition-specific transcriptional programs in wound healing using scRNA-seq data, revealing universal patterns and treatment-specific changes.

1 citation

humanscRNA-seq

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