Author

Manfred Stoyke

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Kapil NichaniiD· 2 shared Petra Gowik· 2 shared Steffen UhligiD· 2 shared Bertrand ColsoniD· 1 shared Carsten Uhlig· 1 shared Gerd Huschek· 1 shared Harshadrai M. RaweliD· 1 shared Josephine Bönick· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Kapil NichaniORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 19, 2021

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.

5 citations

statistical modelbenchmarking

BioinformaticsbioRxivPreprintMay 7, 2020

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

Kapil Nichani, Steffen Uhlig, Bertrand Colson…·Gerd Huschek

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

2 citations

metabolomicsmachine learning (classical)