Author

Mikkel Hovden Christensen

Aarhus UniversityORCID 0000-0002-2588-3036Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Jakob Skou PederseniD· 2 shared Amanda FrydendahliD· 1 shared Amruta ShrikhandeiD· 1 shared Britt Elmedal LaurseniD· 1 shared Christina DemuthiD· 1 shared Claus L. AnderseniD· 1 shared Eva R. HoffmanniD· 1 shared Gustav Alexander PoulsgaardiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Jakob Skou PedersenORCID

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2 papers

Recent·Most cited

GenomicseLifePeer-reviewedMar 8, 2023

Pan-cancer association of DNA repair deficiencies with whole-genome mutational patterns

Simon Grund Sørensen, Amruta Shrikhande, Gustav Alexander Poulsgaard…·Jakob Skou Pedersen

The paper identifies DNA repair deficiency genes using mutational patterns and develops predictive models for their loss-of-function variants across cancers.

11 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintSep 27, 2022

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…·Jakob Skou Pedersen

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

DOI 10.1101/2022.09.27.509150

humanwhole-genome sequencing

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