Author

Petra Gowik

Federal Office of Consumer Protection and Food Safety

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· 3 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Approach:machine learning (classical)· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:metabolomics· 1

Frequent Co-Authors

Kapil NichaniiD· 4 shared Steffen UhligiD· 4 shared Karina Hettwer· 3 shared Bertrand ColsoniD· 2 shared Heike Kaspar· 2 shared Manfred Stoyke· 2 shared Sabine KemmleiniD· 2 shared Ulrike Steinacker· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersBioinformatics

Kapil NichaniORCID

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Author profile →

4 papers

Recent·Most cited

Non-targeted screening method for detecting temporal shifts in spectral patterns of Methicillin Resistance Staphylococcus aureus and post-hoc description of peak features

Kapil Nichani, Steffen Uhlig, Victor San Martin, Karina Hettwer, Kirstin Frost, Ulrike Steinacker, Heike Kaspar, Petra Gowik, Sabine Kemmlein

The paper presents a method to detect temporal shifts in MALDI-TOF MS spectral patterns of MRSA/MSSA using CNNs and statistical methods, with GradCam for feature analysis.

Microorganisms · Jan 3, 2026Peer-reviewedMicrobiology

Towards Spectral Variation Analysis: A Data Quality Framework for Non-Targeted Methods

Kapil Nichani, Steffen Uhlig, Victor San Martin, Bertrand Colson, Karina Hettwer, Ulrike Steinacker, Heike Kaspar, Petra Gowik, Sabine Kemmlein

This paper evaluates spectral comparison methods for non-targeted analysis, showing neural classification distance outperforms Mahalanobis distance in handling complex spectral data.

Molecules · Nov 29, 2025Peer-reviewedBioinformatics

Validation of binary non-targeted approaches: mathematical framework and experimental designs

Steffen Uhlig, Kapil Nichani, Manfred Stoyke, Petra Gowik

This paper develops a mathematical framework and experimental designs for validating binary non-targeted methods to improve their reliability and performance in food fraud detection.

bioRxiv · Jan 19, 2021 · PreprintBioinformatics

AI-based identification of grain cultivars via non-target mass spectrometry

Kapil Nichani, Steffen Uhlig, Bertrand Colson, Karina Hettwer, Kirsten Simon, Josephine Bönick, Carsten Uhlig, Harshadrai M. Rawel, Manfred Stoyke, Petra Gowik, Gerd Huschek

The paper uses AI and non-target mass spectrometry to distinguish wheat and spelt cultivars and validates the method's discriminatory power.

bioRxiv · May 7, 2020 · PreprintBioinformatics