Author

Kayla Meyer

German Cancer Research CenterORCID 0009-0003-5063-5266Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Frequent Co-Authors

Brian ClarkeiD· 1 shared Eva HoltkampiD· 1 shared Felix BrechtmanniD· 1 shared Felix Munzlinger· 1 shared Florian R. HölzlwimmeriD· 1 shared Hakime ÖztürkiD· 1 shared Julien GagneuriD· 1 shared Magnus WahlbergiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Brian ClarkeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 12, 2023

Integration of variant annotations using deep set networks boosts rare variant association genetics

Brian Clarke, Eva Holtkamp, Hakime Öztürk…·Oliver Stegle

This paper introduces DeepRVAT, a deep learning model for rare variant association genetics, showing improved gene discovery and risk prediction using whole-exome sequencing data from UK Biobank.

4 citations

humanwhole-exome sequencing

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