Author

Tomislav Prusina

University of Osijek

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· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Domagoj MatijevićiD· 2 shared Stefan CanzariD· 2 shared Van Hoan DoiD· 2 shared Alice DescoeudresiD· 1 shared Johanna KlughammeriD· 1 shared Noah Schmidt· 1 shared Simon MagesiD· 1 shared Slobodan JelićiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Domagoj MatijevićORCID

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2 papers

Recent·Most cited

An explanatory benchmark of spatial domain detection reveals key drivers of method performance

Alice Descoeudres, Tomislav Prusina, Noah Schmidt, Van Hoan Do, Simon Mages, Johanna Klughammer, Domagoj Matijević, Stefan Canzar

This paper benchmarks 26 spatial domain detection methods across real and semi-synthetic spatial transcriptomics data to identify performance drivers and introduce a modular benchmarking framework.

bioRxiv · Mar 16, 2026 · PreprintBioinformatics

Metric Multidimensional Scaling for Large Single-Cell Data Sets using Neural Networks

Stefan Canzar, Van Hoan Do, Slobodan Jelić, Sören Laue, Domagoj Matijević, Tomislav Prusina

The paper introduces a neural network method for metric multidimensional scaling that scales to large single-cell datasets and provides non-linear embeddings.

bioRxiv · Jun 24, 2021 · PreprintBioinformatics