Author

F. M. Riese

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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Biochemistry· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

A. Vorobyev· 1 shared F. M. Torun· 1 shared J. B. Müller-Reif· 1 shared M. T. Strauss· 1 shared P. E. Geyer· 1 shared S. Doll· 1 shared S. Virreira Winter· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

A. Vorobyev

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1 paper

Recent·Most cited

Transparent exploration of machine learning for biomarker discovery from proteomics and omics data

M. T. Strauss, F. M. Torun, S. Virreira Winter, S. Doll, F. M. Riese, A. Vorobyev, J. B. Müller-Reif, P. E. Geyer

The paper introduces OmicLearn, an open-source web-based tool for applying machine learning to biomarker discovery in proteomics and omics data without requiring programming or bioinformatics expertise.

bioRxiv · Mar 5, 2021Biochemistry