Author

E. M. Schaeffer

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 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

L. Marchionni· 2 shared M. Loda· 2 shared B. D. Robinson· 1 shared D. C. Salles· 1 shared D. F. Sanchez· 1 shared E. L. Imada· 1 shared E. M. Ebot· 1 shared G. R. Franco· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersPathology

L. Marchionni

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2 papers

Recent·Most cited

Using Attention-based Deep Learning to Predict ERG:TMPRSS2 Fusion Status in Prostate Cancer from Whole Slide Images

M. Omar, Z. Xu, S. B. Rand, M. Mohammad, D. C. Salles, E. M. Schaeffer, B. D. Robinson, T. L. Lotan, M. Loda, L. Marchionni

This paper develops a deep learning model to predict ERG:TMPRSS2 fusion status in prostate cancer from whole slide images and identifies associated morphological features.

bioRxiv · Nov 18, 2022 · PreprintPathology

Transcriptional landscape of PTEN loss in primary prostate cancer

E. L. Imada, D. F. Sanchez, W. Dinalankara, T. Vidotto, E. M. Ebot, S. Tyekucheva, G. R. Franco, L. Mucci, M. Loda, E. M. Schaeffer, T. Lotan, L. Marchionni

The paper identifies a transcriptomic signature of PTEN loss in prostate cancer, revealing immune system activation and cell-cycle gene upregulation, and expands it to include non-coding RNAs.

bioRxiv · Oct 8, 2020 · PreprintCancer Biology