Author

Mohamad Daniel Bairakdar

Tisch Cancer Institute

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Cancer Biology· 1

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Alexander M. TsankoviD· 1 shared Bruno GiottiiD· 1 shared Dolores HambardzumyaniD· 1 shared Elvin WagenblastiD· 1 shared Paula ŠtancliD· 1 shared Paz P PolakiD· 1 shared Rosa KarlićiD· 1 shared Wooseung Lee· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperCancer Biology

Alexander M. TsankovORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintApr 6, 2025

Learning the cellular origins of cancer using single-cell chromatin landscapes

Mohamad Daniel Bairakdar, Bruno Giotti, Wooseung Lee…·Alexander M. Tsankov

This study uses single-cell chromatin accessibility data and machine learning to predict cancer cell origins, revealing new insights into tumor development and challenging existing views on cancer origins.

1 citation

humanscATAC-seq

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