Author

R. Tal

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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Research Focus:clustering· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

I. Tirosh· 2 shared S. V. Puram· 2 shared A. C. Greenwald· 1 shared A. Gavish· 1 shared A. Plotnikov· 1 shared A. R. Greenwald· 1 shared A. Regev· 1 shared A. Spitzer· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCancer Biology

I. Tirosh

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Author profile →

2 papers

Recent·Most cited

The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors

A. Gavish, M. Tyler, D. Simkin, D. Kovarsky, L. N. Gonzalez Castro, D. Halder, R. Chanoch-Myers, J. Laffy, M. Mints, A. R. Greenwald, A. Weider, R. Tal, A. Spitzer, T. Hara, A. Tirosh, , I. Tirosh

This study integrates single-cell RNA-seq data from 1,163 tumors across 24 types to identify 41 consensus transcriptional programs and 11 hallmarks of intra-tumor heterogeneity.

bioRxiv · Dec 19, 2021 · PreprintCancer Biology

Pan-cancer single cell RNA-seq uncovers recurring programs of cellular heterogeneity

G. S. Kinker, A. C. Greenwald, R. Tal, Z. Orlova, M. S. Cuoco, J. M. McFarland, A. Warren, C. Rodman, J. A. Roth, S. A. Bender, B. Kumar, J. W. Rocco, P. A. Fernandes, C. C. Mader, H. Keren-Shaul, , I. Tirosh

The paper uses single-cell RNA-seq to analyze cancer cell lines and identifies recurring expression programs of heterogeneity that mirror those in tumors, suggesting intrinsic plasticity contributes to intra-tumoral diversity.

bioRxiv · Oct 21, 2019 · PreprintCancer Biology