Author

Nadja Zaborsky

Paracelsus Medical UniversityORCID 0000-0002-9775-185XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:organoid / primary culture· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Markus J. SteineriD· 2 shared Richard GreiliD· 2 shared Roland GeisbergeriD· 2 shared Anshu Kumar SharmaiD· 1 shared Daniel NeureiteriD· 1 shared Dominik P. ElmeriD· 1 shared Franz Josef GassneriD· 1 shared Fritz AbergeriD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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2 shared papersBioinformatics

Markus J. SteinerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

spatialgater: A shiny webtool for in situ gating of cells in SpatialExperiments

Markus J. Steiner, Stephan Drothler, Jan Philip Höpner, Roland Geisberger, Nadja Zaborsky

spatialgater provides an interactive web tool for spatial gating of cells in SpatialExperiment objects, enabling users to select cells by location and export results.

bioRxiv · Oct 26, 2025 · PreprintBioinformatics

Hedgehog-Hippo pathway interactions promote T cell exclusion from the tumor microenvironment in basal cell carcinoma

Georg Stockmaier, Suraj R. Varkhande, Peter William Krenn, Hieu-Hoa Dang, Anshu Kumar Sharma, Dominik P. Elmer, Markus J. Steiner, Nadja Zaborsky, Daniel Neureiter, Richard Greil, Jutta Horejs‐Hoeck, Nikolaus Fortelny, Iris Karina Gratz, Fritz Aberger

This study shows that HH/GLI and Hippo/YAP pathway interactions suppress T cell chemotaxis and promote immunosuppression in BCC by downregulating chemokine signaling.

bioRxiv · Jul 7, 2024 · PreprintCancer Biology

Validation of genetic variants from NGS data using Deep Convolutional Neural Networks

Marc Vaisband, Maria Schubert, Franz Josef Gassner, Roland Geisberger, Richard Greil, Nadja Zaborsky, Jan Hasenauer

The paper uses a Convolutional Neural Network to improve genetic variant validation from NGS data, achieving performance comparable to trained researchers.

BMC Bioinformatics · Apr 20, 2023Peer-reviewedBioinformatics