Author

Marc P. Augsburger

Centre Hospitalier Universitaire VaudoisORCID 0000-0002-5606-3831Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:batch correction / integration· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aurélien ThomasiD· 2 shared Federica GilardiiD· 2 shared Béatrice DesvergneiD· 1 shared Cristian CarmeliiD· 1 shared Estelle MaretiD· 1 shared Jonathan Sidibé· 1 shared Julijana IvaniševićiD· 1 shared Kim WiskottiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Aurélien ThomasORCID

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2 papers

Recent·Most cited

NeurosciencePROTEOMICS - CLINICAL APPLICATIONSPeer-reviewedDec 20, 2024

Activity based proteome profiling of serum serinehydrolases: application in pediatric abusive head trauma

Estelle Maret, Kim Wiskott, Tobias Shipley…·Tatjana Sajic

This study uses activity-based proteome profiling to analyze serum serine hydrolases in infants with abusive head trauma, finding reduced enzyme activity compared to sudden infant death syndrome.

2 citations

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 22, 2020

Visualization and normalization of drift effect across batches in metabolome-wide association studies

Nasim Bararpour, Federica Gilardi, Cristian Carmeli…·Aurélien Thomas

The paper introduces dbnorm, an R package to visualize and correct signal drift in metabolomics data across batches, improving the detection of true biological variation.

6 citations

metabolomicsstatistical model

𝕏 PostBluesky