Author

Laure Ciernik

ETH ZurichORCID 0009-0005-4501-243XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Ada Pusztai· 1 shared Agnieszka KraftiD· 1 shared Andrea Sendelhofert· 1 shared Andreas MöckiD· 1 shared Fatma ErsaniD· 1 shared Florian BarkmanniD· 1 shared Frederick KlauscheniD· 1 shared Jochen HeßiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

Ada Pusztai

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2 papers

Recent·Most cited

PathologybioRxivPreprintNov 24, 2025

Digital Spatial Pathway Mapping Reveals Prognostic Tumor States in Head and Neck Cancer

Julius Hense, Mina Jamshidi Idaji, Laure Ciernik…·Andreas Möck

This paper introduces a method to infer signaling pathway activities from H&E slides in HNSCC, revealing two prognostic tumor states.

DOI 10.1101/2025.11.24.689710

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 20, 2023

ANS: Adjusted Neighborhood Scoring to improve gene signature-based cell annotation in single-cell RNA-seq data

Laure Ciernik, Agnieszka Kraft, Florian Barkmann…·Valentina Boeva

The paper introduces ANS, a new gene signature scoring method for scRNA-seq, improving cell annotation by addressing limitations in existing methods and demonstrating strong classification performance.

4 citations

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