Author

Sarah Østrup Jensen

Aarhus UniversityORCID 0000-0001-6044-3362Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Frequent Co-Authors

Adam J. WidmaniD· 1 shared Aditya S. DeshpandeiD· 1 shared Alexandre Pellan ChengiD· 1 shared Amanda FrydendahliD· 1 shared Andrew J. J. MungalliD· 1 shared Anushri AroraiD· 1 shared Ashish SaxenaiD· 1 shared Caroline A. LohrischiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Adam J. WidmanORCID

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1 paper

Recent·Most cited

GenomicsNature MedicinePeer-reviewedJun 1, 2024

Machine learning guided signal enrichment for ultrasensitive plasma tumor burden monitoring

Adam J. Widman, Minita J. Shah, Amanda Frydendahl…·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.

138 citationstop 1%

humanwhole-genome sequencing

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