Author

Jesper Nors

Aarhus UniversityORCID 0000-0002-9104-7263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amanda FrydendahliD· 2 shared Claus L. AnderseniD· 2 shared Mads Heilskov RasmusseniD· 2 shared Adam J. WidmaniD· 1 shared Aditya S. DeshpandeiD· 1 shared Alexandre Pellan ChengiD· 1 shared Andrew J. J. MungalliD· 1 shared Anushri AroraiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Amanda FrydendahlORCID

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2 papers

Recent·Most cited

Machine learning guided signal enrichment for ultrasensitive plasma tumor burden monitoring

Adam J. Widman, Minita J. Shah, Amanda Frydendahl, Daniel Halmos, Cole C. Khamnei, Nadia Øgaard, Srinivas Rajagopalan, Anushri Arora, Aditya S. Deshpande, William F. Hooper, Jean Quentin, Jake Bass, Mingxuan Zhang, Theophile Langanay, Laura Andersen, , Dan Avi Landau

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

Nature Medicine · Jun 1, 2024Peer-reviewedGenomics

DREAMS: Deep Read-level Error Model for Sequencing data applied to low-frequency variant calling and circulating tumor DNA detection

Mikkel Hovden Christensen, Simon Opstrup Drue, Mads Heilskov Rasmussen, Amanda Frydendahl, Iben Lyskjær, Christina Demuth, Jesper Nors, Kåre Andersson Gotschalck, Lene Hjerrild Iversen, Claus L. Andersen, Jakob Skou Pedersen

DREAMS improves variant calling and circulating tumor DNA detection by modeling sequencing errors at the read level using deep learning.

bioRxiv · Sep 27, 2022 · PreprintBioinformatics