Author

F. Dietlein

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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Approach:deep learning· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

E. M. Van Allen· 2 shared H. Elmarakeby· 2 shared A. Cheung· 1 shared A. Chowdhury· 1 shared A. Imamovic· 1 shared A. Yaari· 1 shared B. Berger· 1 shared B. Jiang· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

E. M. Van Allen

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3 papers

Recent·Most cited

Examining Batch Effect in Histopathology as a Distributionally Robust Optimization Problem

S. N. Hari, J. Nyman, N. Mehta, F. Dietlein, J. Rosenthal, B. Jiang, A. Chowdhury, H. Elmarakeby, E. Sengupta, R. Umeton, E. M. Van Allen

This paper shows that using abstention in a patch-based classifier improves performance in histopathology tasks while reducing reliance on spurious features.

bioRxiv · Sep 14, 2021 · PreprintCancer Biology

Learning the mutational landscape of the cancer genome

M. A. Sherman, A. Yaari, O. Priebe, F. Dietlein, P.-R. Loh, B. Berger

The paper predicts cancer-specific mutation rates genome-wide using deep neural networks to identify new putative driver mutations in understudied genomic regions.

bioRxiv · Aug 3, 2021 · PreprintCancer Biology

Clinical interpretation of integrative molecular profiles to guide precision cancer medicine

B. Reardon, N. D. Moore, N. Moore, E. Kofman, S. Aldubayan, A. Cheung, J. Conway, H. Elmarakeby, A. Imamovic, S. C. Kamran, T. Keenan, D. Keliher, D. J. Konieczkowski, D. Liu, K. Mouw, , E. M. Van Allen

This paper introduces MOAlmanac, a clinical interpretation algorithm that integrates genomic and transcriptional data to improve precision cancer treatment decisions by considering second-order molecular features.

bioRxiv · Sep 22, 2020Cancer Biology