Author

S. C. Benz

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 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

B. Goode· 1 shared C. Boniface· 1 shared C. W. Szeto· 1 shared C. Zaloudek· 1 shared D. A. Solomon· 1 shared J. Chapman· 1 shared J. T. Rabban· 1 shared J. Z. Sanborn· 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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1 shared paperCancer Biology

B. Goode

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Author profile →

2 papers

Recent·Most cited

Deep learning-based risk stratification for HER2-negative breast cancer patients

M. I. Jaber, L. Beziaeva, C. W. Szeto, S. C. Benz

The paper uses deep learning to analyze digital pathology images and clinicopathological data to improve risk stratification for HER2-negative breast cancer patients.

bioRxiv · May 26, 2021 · PreprintPathology

Multi-region exome sequencing of ovarian teratomas reveals 2N near-diploid genomes, paucity of somatic mutations, and extensive allelic imbalances shared across mature, immature, and disseminated components

M. B. Heskett, J. Z. Sanborn, C. Boniface, B. Goode, J. Chapman, K. Garg, J. T. Rabban, C. Zaloudek, S. C. Benz, P. T. Spellman, D. A. Solomon, R. J. Cho

This study uses multi-region exome sequencing to show ovarian immature teratomas have near-diploid genomes, extensive allelic imbalances, and clonal origins across different tumor components.

bioRxiv · Oct 28, 2019Cancer Biology