Author

Patrick Styll

ETH ZurichORCID 0009-0009-6643-2512Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Martin C. FrithiD· 1 shared Milot MirditaiD· 1 shared Na CaiiD· 1 shared Patrick BoppertiD· 1 shared Yazheng DiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Martin C. FrithORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintNov 9, 2026

Uncertainty-Aware Personalised Gene Expression Prediction Improves Cell-Type-Specific Association Testing

Patrick Styll, Yazheng Di, Na Cai

ATTICUS improves gene expression prediction and association testing by incorporating uncertainty awareness and personalized training, enhancing accuracy and cell-type specificity in disease studies.

DOI 10.64898/2026.11.06.764604

humanbulk RNA-seq

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BioinformaticsJournal of Computational BiologyPeer-reviewedMar 25, 2026

Simple and thorough detection of related sequences with position-varying probabilities of substitutions, insertions, and deletions

Martin C. Frith, Patrick Boppert, Patrick Styll, Milot Mirdita

The paper introduces a simple and efficient method for detecting related genetic sequences with position-varying substitution, insertion, and deletion probabilities, and demonstrates its application to identify relics of LF-SINE in the human genome.

DOI 10.1177/15578666261428480

humanDNA methylation

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