Author

Nicolas Mathis

University of ZurichORCID 0000-0002-4051-8344Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:variant effect prediction· 2 Assay:CRISPR screen· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Gerald SchwankiD· 2 shared Ahmed AllamiD· 1 shared András TálasiD· 1 shared Atharva Tyagi· 1 shared Bas van SteenseliD· 1 shared Christopher A. CassaiD· 1 shared David Benjamin AscheriD· 1 shared Desirée BöckiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetics

Gerald SchwankORCID

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2 papers

Recent·Most cited

GeneticsCirculationPeer-reviewedSep 1, 2026

LDLR variant classification through activity-normalized prime editing screening

Phillip J. Zhou, Minja Velimirovic, Yu Tian…·Richard I. Sherwood

This paper uses prime editing to classify LDLR variants by measuring their impact on LDL-C uptake, reclassifying many previously unclassified variants.

DOI 10.1161/circulationaha.125.078585

humanCRISPR screen

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Molecular BiologybioRxivPreprintOct 9, 2023

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

Nicolas Mathis, Ahmed Allam, András Tálas…·Gerald Schwank

7 citations

machine learning (classical)variant effect prediction

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