Author

Peter Andorfer

ORCID 0000-0002-9575-9372Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Enrico BonoiD· 2 shared Fabio BaumgärteliD· 2 shared Kinga KęskaiD· 2 shared Klaus KratochwilliD· 2 shared Louiza GalouiD· 2 shared Lucas FillingeriD· 2 shared Matthias LeyiD· 2 shared Paul PercoiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Enrico BonoORCID

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2 papers

Recent·Most cited

Graph Lens Lite: A browser-based tool for interactive visualization and exploration of biological networks

Matthias Ley, Kinga Kęska, Lucas Fillinger, Samuel M. Walter, Fabio Baumgärtel, Enrico Bono, Louiza Galou, Peter Andorfer, Pirmin Hauser, Johannes Leierer, Klaus Kratochwill, Paul Perco

Graph Lens Lite is a browser-based tool for visualizing and exploring biological networks, offering interactive features for analysis and hypothesis generation in disease and drug research.

bioRxiv · Jul 22, 2026 · PreprintBioinformatics

Systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models

Fabio Baumgärtel, Enrico Bono, Lucas Fillinger, Louiza Galou, Kinga Kęska, Samuel M. Walter, Peter Andorfer, Klaus Kratochwill, Paul Perco, Matthias Ley

This study benchmarks 62 text summarization methods on biomedical abstracts, finding that general-purpose large language models outperform domain-specific and reasoning-oriented models.

bioRxiv · Jul 16, 2026 · PreprintBioinformatics