Author

Iben Lyskjær

Aarhus UniversityORCID 0000-0003-3446-1182Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Adrienne Margaret FlanaganiD· 2 shared Anna‐Christina Strobl· 2 shared Dahmane OukrifiD· 2 shared Fernanda M AmaryiD· 2 shared Nischalan PillayiD· 2 shared Peter Van LooiD· 2 shared Roberto TiraboscoiD· 2 shared Amanda FrydendahliD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adrienne Margaret FlanaganORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Preoperative thymic output and T cell repertoire diversity are associated with recurrence after nephrectomy for localized renal cell carcinoma

Christina Espeseth Grand, Laura Iisager, Asbjørn Kjær, Iver Nordentoft, Laura Zanini, Randi Istrup Juul, Anna Krarup Keller, Mie Gaedt Thorlund, Anne‐Sofie Vibæk Eisum, Tommy Kjærgaard Nielsen, Jesper Huitfeld Jespersen, Niels Fristrup, Lars Dyrskjøt, Nicolai J. Birkbak, Iben Lyskjær

bioRxiv · Oct 14, 2026 · PreprintCancer Biology

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

A Genetic Model for Central Chondrosarcoma Evolution Correlates with Patient Outcome

William C. H. Cross, Iben Lyskjær, Tom Lesluyes, Steven Hargreaves, Anna‐Christina Strobl, Christopher Davies, Sara Waise, Shadi Hames-Fathi, Dahmane Oukrif, Hongtao Ye, Fernanda M Amary, Roberto Tirabosco, Craig Gerrand, Toby M. Baker, David Barnes, , Adrienne Margaret Flanagan

The paper presents a genetic model of central chondrosarcoma using genomic and epigenomic data to identify mutations and methylation patterns associated with patient outcomes.

Genome Medicine · Aug 30, 2022Peer-reviewedGenetic & Genomic Medicine

Drivers underpinning the malignant transformation of giant cell tumour of bone

Matthew W. Fittall, Iben Lyskjær, Peter Ellery, Patrick Lombard, Jannat Ijaz, Anna‐Christina Strobl, Dahmane Oukrif, Maxime Tarabichi, Martin Sill, Christian Koelsche, Gunhild Mechtersheimer, Jonas Demeulemeester, Roberto Tirabosco, Fernanda M Amary, Peter J. Campbell, , Adrienne Margaret Flanagan

This study identifies genomic and methylation patterns associated with benign metastases and malignant transformation in giant cell tumour of bone.

The Journal of Pathology · Aug 31, 2020Peer-reviewedGenetic & Genomic Medicine