Author

Dominik Thalmeier

Helmholtz Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Afra M. Wohlschläger· 1 shared Albrecht StrohiD· 1 shared Bastian RieckiD· 1 shared Christoph PlassiD· 1 shared Dominik JüsteliD· 1 shared Felix SigmundiD· 1 shared Gil G. WestmeyeriD· 1 shared Kersten BreueriD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Afra M. Wohlschläger

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2 papers

Recent·Most cited

Cortex-Wide Preservation of Multi-Stimulus Information across Degrees of Network Synchronization

Silviu‐Vasile Bodea, Rodrigo González Laiz, Rhîannan H. Williams, Mariia Gladkova, Dominik Thalmeier, Bastian Rieck, Felix Sigmund, Marie Piraud, Afra M. Wohlschläger, Dominik Jüstel, Albrecht Stroh, Steffen Schneider, Gil G. Westmeyer

The paper decodes stimulus identity and network state from calcium imaging in mice across different anesthesia states, showing preserved stimulus information even during deep anesthesia.

bioRxiv · Dec 2, 2025 · PreprintNeuroscience

Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes

Yunhee Jeong, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Réka Tóth, Marlene Ganslmeier, Kersten Breuer, Christoph Plass, Pavlo Lutsik

This study benchmarks six sequencing-based and two array-based cell-type deconvolution methods for bulk DNA methylomes, identifying the best-performing method and factors affecting performance.

Briefings in Bioinformatics · Jul 6, 2022Peer-reviewedBioinformatics