Author

Michael Weig

Universitätsmedizin GöttingenORCID 0000-0002-3847-4274Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Organism:yeast· 1

Frequent Co-Authors

Oliver BaderiD· 2 shared Anne-Christin HauschildiD· 1 shared Christine NolliD· 1 shared Hans Dieter SchmittiD· 1 shared Henning UrlaubiD· 1 shared Martin KollmariD· 1 shared Peter Mienkus· 1 shared Pia Sternisek· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Oliver BaderORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Effect of Data Heterogeneity in Clinical MALDI-TOF Mass Spectra Profiles on Direct Antimicrobial Resistance Prediction through Machine Learning

Youngjun Park, Michael Weig, Christine Noll, Oliver Bader, Anne-Christin Hauschild

The paper introduces a large mass spectra dataset for antimicrobial resistance prediction, evaluates its performance, and analyzes the impact of data heterogeneity on machine learning models.

bioRxiv · Oct 18, 2024 · PreprintBioinformatics

Proteogenomics analysis of CUG codon translation in the human pathogen Candida albicans

Stefanie Mühlhausen, Hans Dieter Schmitt, Uwe Plessmann, Peter Mienkus, Pia Sternisek, Thorsten Perl, Michael Weig, Henning Urlaub, Oliver Bader, Martin Kollmar

The paper uses proteogenomics to assess CUG codon mistranslation in Candida albicans and finds no evidence of leucine mistranslation, instead showing ribosomal-level ambiguity and no correlation with pathogenicity.

BMC Biology · Dec 1, 2021Peer-reviewedGenomics