Author

T. Mazor

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

B. E. Johnson· 1 shared D. A. Lim· 1 shared D. J. Brody· 1 shared E. J. Huang· 1 shared J. F. Costello· 1 shared J. J. Phillips· 1 shared K. W. Kelley· 1 shared M. B. Potts· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

B. E. Johnson

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1 paper

Recent·Most cited

Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections

P. G. Schupp, S. J. Shelton, D. J. Brody, R. Eliscu, B. E. Johnson, T. Mazor, K. W. Kelley, M. B. Potts, M. W. McDermott, E. J. Huang, D. A. Lim, R. O. Pieper, M. S. Berger, J. F. Costello, J. J. Phillips, M. C. Oldham

This study develops MOMA, a multiomic and multiscale analysis method to deconstruct intratumoral heterogeneity in IDH-mutant astrocytomas, revealing molecular features and spatial distributions of malignant clones.

bioRxiv · Jun 21, 2023Cancer Biology