Author

Anne-Marie Galow

Research Institute for Farm Animal Biology (FBN)ORCID 0000-0002-7968-3152Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Robert DavidiD· 2 shared Alexander RebliD· 1 shared Athanasia PavlopoulouiD· 1 shared Catharina Neßelmann· 1 shared Christian D. EtziD· 1 shared Elif Yildiz· 1 shared Joao Seco· 1 shared Markus WolfieniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersEvolutionary Biology

Robert DavidORCID

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2 papers

Recent·Most cited

An integrative cardio-informatics approach identifies positionally conserved ancestors of human lncRNA genes transcribed across vertebrate hearts

Anne-Marie Galow, Athanasia Pavlopoulou, Elif Yildiz, Stefan Kuhn, Stephan Marquardt, Joao Seco, Oleksandra Chabanovska, Praveen Vasudevan, Catharina Neßelmann, Christian D. Etz, Alexander Rebl, Robert David, Stella Logotheti

The paper identifies conserved genomic positions of human heart-related lncRNA genes across vertebrates using integrative analysis and a neural network tool.

bioRxiv · Oct 24, 2026 · PreprintEvolutionary Biology

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer A

The paper introduces a synthetic oversampling method to annotate rare cell types in single-cell RNA-sequencing data, demonstrating high accuracy and low false positives in two use cases.

BMC Bioinformatics · Nov 19, 2021Peer-reviewedBioinformatics