Author

P. E. Geyer

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· 5 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:proteomics· 4 Approach:experimental assay· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

M. Mann· 5 shared P. V. Treit· 3 shared F. Meier· 2 shared S. Doll· 2 shared S. Virreira Winter· 2 shared A. Krag· 1 shared A. Santos· 1 shared A. Telzerow· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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5 shared papersBiochemistry

M. Mann

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Author profile →

6 papers

Recent·Most cited

Consistency across multi-omics layers in a drug-perturbed gut microbial community

S. Wuyts, R. Alves, M. Zimmermann-Kogadeeva, S. Nishijima, S. Blasche, M. Driessen, P. E. Geyer, R. Hercog, E. Kartal, L. Maier, J. B. Müller, S. Garcia Santamarina, T. S. B. Schmidt, D. C. Sevin, A. Telzerow, , P. Bork

The paper examines consistency and complementarity across five omics layers in a drug-perturbed gut microbial community, finding high agreement in species abundance and functional insights from different data types.

bioRxiv · Jan 3, 2023Microbiology

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

A new parallel high-pressure packing system enables rapid multiplexed production of capillary columns

J. B. Mueller-Reif, F. M. Hansen, L. Schweizer, P. V. Treit, P. E. Geyer, M. Mann

A new parallel high-pressure packing system enables rapid multiplexed production of capillary columns, reducing production time by 40 to 800 times.

bioRxiv · Feb 26, 2021Biochemistry

A paired liver biopsy and plasma proteomics study reveals circulating biomarkers for alcohol-related liver disease

L. Niu, M. Thiele, P. E. Geyer, D. N. Rasmussen, H. E. Webel, A. Santos, R. Gupta, F. Meier, M. Strauss, M. Kjaergaard, K. Lindvig, S. Jacobsen, S. Rasmussen, T. Hansen, A. Krag, M. Mann

This study identifies circulating proteomic biomarkers for alcohol-related liver disease using paired liver biopsy and plasma proteomics, showing improved performance over existing tests.

bioRxiv · Oct 16, 2020 · PreprintBiochemistry

Accurate MS-based Rab10 phosphorylation stoichiometry determination as readout for LRRK2 activity in Parkinson’s disease

O. Karayel, F. Tonelli, S. Virreira Winter, P. E. Geyer, Y. Fan, E. M. Sammler, D. R. Alessi, M. Steger, M. Mann

The paper develops an ultra-sensitive MS-based assay to measure Rab10-Thr73 phosphorylation stoichiometry as a biomarker for LRRK2 activity in Parkinson’s disease.

bioRxiv · Oct 25, 2019Biochemistry

A novel LC system embeds analytes in pre-formed gradients for rapid, ultra-robust proteomics

N. Bache, P. E. Geyer, D. B. Bekker-Jensen, O. Hoerning, L. Falkenby, P. V. Treit, S. Doll, I. Paron, F. Meier, J. V. Olsen, O. Vorm, M. Mann

The paper introduces a novel LC system for proteomics that enables rapid, high-throughput, and robust analysis with deep proteome coverage.

bioRxiv · May 15, 2018Biochemistry