Veit Schwämmle

23PUBLICATIONS
113CO-AUTHORS
Formal methods for softwareData mining and knowledge discoveryProteomics and metabolomicsSoftware testing, verification and validationDeep learning
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Publications (23)

|Jun 27, 2026
bio.tools: an expanded web service for research software in the life sciences.

|May 20, 2026
Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure.

|Sep 03, 2025
Understanding Data Analysis Steps in Mass-Spectrometry-Based Proteomics Is Key to Transparent Reporting.

Nadezhda T Doncheva, Veit Schwämmle, Marie Locard-Paulet

|Dec 01, 2023
WOMBAT-P: Benchmarking Label-Free Proteomics Data Analysis Workflows.

David Bouyssié, Pınar Altıner, Salvador Capella-Gutierrez

|Nov 20, 2023
Variability analysis of LC-MS experimental factors and their impact on machine learning.

Tobias Greisager Rehfeldt, Konrad Krawczyk, Simon Gregersen Echers

|Feb 06, 2023
Toward an Integrated Machine Learning Model of a Proteomics Experiment.

Benjamin A Neely, Viktoria Dorfer, Lennart Martens

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Frequent Collaborators

8 joint publications

Magnus Palmblad

5 joint publications

Julian Uszkoreit

3 joint publications

Ole N Jensen

3 joint publications

Richard Röttger