Author

Samuel M. Walter

ORCID 0000-0002-6868-5654Unclaimed 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

BioinformaticsbioRxivPreprintJul 22, 2026

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

Matthias Ley, Kinga Kęska, Lucas Fillinger…·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.

DOI 10.64898/2026.02.25.708026

experimental assaysoftware / tool

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 16, 2026

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

Fabio Baumgärtel, Enrico Bono, Lucas Fillinger…·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.

DOI 10.64898/2026.01.09.697335

statistical modelmachine learning (classical)

𝕏 PostBluesky