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)

|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

|Feb 16, 2024
Tackling reproducibility: lessons for the proteomics community.

Julian Uszkoreit, Magnus Palmblad, Veit Schwämmle

|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

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