Author

Tobias Greisager Rehfeldt

University of Southern DenmarkORCID 0000-0002-1190-9485Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:metabolomics· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Richard RöttgeriD· 2 shared Veit SchwämmleiD· 2 shared Konrad KrawczykiD· 1 shared Konrad KrawczykiD· 1 shared Mathias Emil BøgebjergiD· 1 shared Paolo MarcatiliiD· 1 shared Pawel PalczynskiiD· 1 shared Simon Gregersen EchersiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Richard RöttgerORCID

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2 papers

Recent·Most cited

Variance Analysis of LC-MS Experimental Factors and Their Impact on Machine Learning

Tobias Greisager Rehfeldt, Konrad Krawczyk, Simon Gregersen Echers, Paolo Marcatili, Pawel Palczynski, Richard Röttger, Veit Schwämmle

The paper analyzes variance sources in LC-MS data and evaluates transfer learning's impact on ML performance across public datasets.

bioRxiv · May 1, 2023 · PreprintBioinformatics

MS2AI: Automated repurposing of public peptide LC-MS data for machine learning applications

Tobias Greisager Rehfeldt, Konrad Krawczyk, Mathias Emil Bøgebjerg, Veit Schwämmle, Richard Röttger

The paper introduces MS2AI, a pipeline that automates the collection and preparation of LC-MS data for machine learning, and presents a CNN for oxidized peptide identification.

Bioinformatics · Oct 11, 2021Peer-reviewedBioinformatics