Author

Yixin Lin

Aarhus UniversityORCID 0009-0009-7449-3155Unclaimed ORCID profile · follow to get notified of new preprints

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Yixin Lin1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Amanda FrydendahliD· 2 shared Carmen OroperviD· 2 shared Claus L. AnderseniD· 2 shared Mads Heilskov RasmusseniD· 2 shared Søren BesenbacheriD· 2 shared Kristian AlmstrupiD· 1 shared Mikkel Heide SchierupiD· 1 shared Peter Soerud PorsborgiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Amanda FrydendahlORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BiologyPeer-reviewedOct 28, 2026

Accurate calling of low-frequency somatic mutations by sample-specific modeling of error rates

Yixin Lin, Carmen Oroperv, Peter Soerud Porsborg…·Søren Besenbacher

This paper introduces BBQ, a tool that improves rare somatic variant calling by modeling sample-specific error rates using overlapping reads, reducing false positives compared to existing tools.

DOI 10.1186/s12915-026-02754-w

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintApr 1, 2026

Combining mutation detection with fragmentomics features leads to improved tumor-informed ctDNA detection

Yixin Lin, Carmen Oroperv, Amanda Frydendahl…·Søren Besenbacher

This paper improves ctDNA detection by combining mutation detection with fragmentomic features, achieving higher AUC scores than mutation burden alone.

DOI 10.64898/2026.03.30.714025

humanwhole-genome sequencing

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