Author

D. G. Livitz

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:whole-genome sequencing· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1

Frequent Co-Authors

G. Getz· 3 shared I. Leshchiner· 3 shared C. Jolly· 2 shared D. Rosebrock· 2 shared F. Markowetz· 2 shared G. Macintyre· 2 shared H. Zhu· 2 shared I. Vazquez-Garcia· 2 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

G. Getz

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Author profile →

3 papers

Recent·Most cited

Molecular features of exceptional response to neoadjuvant anti-androgen therapy in high-risk localized prostate cancer

A. K. Tewari, A. T. M. Cheung, J. Crowdis, J. R. Conway, S. Y. Camp, S. A. Wankowicz, D. G. Livitz, J. Park, R. T. Lis, A. Boosma-Moody, M. X. He, S. H. AlDubayan, Z. Zhang, R. R. McKay, I. Leshchiner, , E. Van Allen

bioRxiv · Apr 20, 2021Cancer Biology

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

S. C. Dentro, I. Leshchiner, K. Haase, M. Tarabichi, J. Wintersinger, A. G. Deshwar, K. Yu, Y. Rubanova, G. Macintyre, J. Demeulemeester, I. Vazquez-Garcia, K. Kleinheinz, D. G. Livitz, S. Malikic, N. Donmez, , Q. D. Morris

This study characterizes intra-tumor heterogeneity across 2,658 human cancer genomes, identifying subclonal mutations and evolutionary patterns across 38 cancer types.

Cell · Apr 1, 2021Peer-reviewedCancer Biology

The evolutionary history of 2,658 cancers

M. Gerstung, C. Jolly, I. Leshchiner, S. C. Dentro, S. Gonzalez Rosado, D. Rosebrock, T. J. Mitchell, Y. Rubanova, P. Anur, K. Yu, M. Tarabichi, A. Deshwar, J. Wintersinger, K. Kleinheinz, I. Vazquez-Garcia, , Spellman

This study uses whole-genome sequencing of cancer samples to reconstruct the evolutionary history of 39 cancer types, identifying early and late-stage mutational patterns and driver genes.

bioRxiv · Sep 12, 2018Cancer Biology