Author

Andreas S. Baur

Friedrich-Alexander-Universität Erlangen-NürnbergORCID 0000-0003-1783-3853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna Cäcilie MölleriD· 2 shared Anne HartebrodtiD· 2 shared Christian OstaleckiiD· 2 shared David B. BlumenthaliD· 2 shared Michael ErdmanniD· 2 shared Alexander Schulz· 1 shared Arif Bülent EkiciiD· 1 shared Christian Thomas ThieliD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Anna Cäcilie MöllerORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintSep 26, 2025

Single-cell dissection of cell hierarchies in urine-derived stem cells - application to chondrogenesis and general scalability

Alexander Schulz, Emily M Brockmann, Miriam Zentgraf…·Christian Thomas Thiel

The paper establishes urine-derived stem cells (USCs) as a non-invasive source for chondrogenesis, revealing cell hierarchy and differentiation trajectories through single-cell RNA sequencing.

1 citation

humanscRNA-seq

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Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedDec 2, 2024

Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma

Suryadipto Sarkar, Anna Cäcilie Möller, Anne Hartebrodt…·David B. Blumenthal

The paper analyzes spatial protein abundance data from skin tissue samples to identify characteristic spatial organization patterns in CTCL compared to AD and PSO.

2 citations

humanimaging

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BioinformaticsbioRxivPreprintOct 30, 2024

High-accuracy prediction of 5-year progression-free melanoma survival using spatial proteomics and few-shot learning on primary tissue

Anna Cäcilie Möller, Christian Ostalecki, Anne Hartebrodt…·David B. Blumenthal

This paper predicts 5-year progression-free survival in melanoma using spatial proteomics and few-shot learning, achieving over 90% accuracy.

DOI 10.1101/2024.10.30.620850

humanspatial transcriptomics

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