Author

C. Labaki

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

D. A. Braun· 2 shared E. M. Van Allen· 2 shared J. Nyman· 2 shared S. Signoretti· 2 shared T. Denize· 2 shared T. K. Choueiri· 2 shared Z. Bakouny· 2 shared A. Imamovic· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

D. A. Braun

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2 papers

Recent·Most cited

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states

J. Nyman, T. Denize, Z. Bakouny, C. Labaki, B. M. Titchen, K. Bi, S. N. Hari, J. Rosenthal, N. Mehta, B. Jiang, B. Sharma, K. Felt, R. Umeton, D. A. Braun, S. Rodig, , E. M. Van Allen

The paper uses spatially aware deep learning to identify tumor heterogeneity patterns in kidney cancer, revealing distinct states associated with different histological subtypes.

bioRxiv · Jan 18, 2023Cancer Biology

Integrative Clinical and Molecular Characterization of Translocation Renal Cell Carcinoma

Z. Bakouny, A. Sadagopan, P. Ravi, N. Y. Metaferia, J. Li, S. AbuHammad, S. Tang, T. Denize, E. R. Garner, X. Gao, D. A. Braun, L. Hirsch, J. A. Steinharter, G. Bouchard, E. Walton, , S. R. Viswanathan

This study characterizes translocation renal cell carcinoma (tRCC) through integrated clinical and molecular analysis of 152 patients, identifying key features like MiT/TFE fusions, NRF2-driven antioxidant response, and differential treatment outcomes.

bioRxiv · Apr 14, 2021Cancer Biology