Author

Lauren Theunissen

Ghent UniversityORCID 0000-0002-1883-2310Unclaimed 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:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Thomas MortieriD· 2 shared Willem WaegemaniD· 2 shared Yvan SaeysiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Thomas MortierORCID

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2 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMay 1, 2025

Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics

Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman

This study evaluates out-of-distribution detection methods for identifying novel cell types and data shifts in single-cell transcriptomics using synthetic and real datasets.

6 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMar 1, 2024

Uncertainty-aware single-cell annotation with a hierarchical reject option

Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman

This paper evaluates rejection strategies in single-cell annotation, finding partial rejection in hierarchical classifiers improves reliability without losing label information.

7 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky