Author

M. A. Sherman

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 O. Priebe· 1 shared P.-R. Loh· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. Yaari

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintAug 3, 2021

Learning the mutational landscape of the cancer genome

M. A. Sherman, A. Yaari, O. Priebe…·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.

DOI 10.1101/2021.08.03.454669

humanwhole-exome sequencing

𝕏 PostBluesky