Author

O. Priebe

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 1

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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

A. Yaari· 1 shared B. Berger· 1 shared F. Dietlein· 1 shared M. A. Sherman· 1 shared P.-R. Loh· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

A. Yaari

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1 paper

Recent·Most cited

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