Author

Adrian Covaci

University of AntwerpORCID 0000-0003-0527-1136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Charlie BeirnaertiD· 2 shared Kris LaukensiD· 2 shared Luc A. C. PietersiD· 2 shared Pieter MeysmaniD· 2 shared Anastasia Van der Auwera· 1 shared Deborah Custers· 1 shared Kenn FoubertiD· 1 shared Laura PeetersiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Charlie BeirnaertORCID

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2 papers

Recent·Most cited

BioinformaticsMetabolitesPeer-reviewedMar 20, 2019

Using expert driven machine learning to enhance dynamic metabolomics data analysis.

Charlie Beirnaert, Laura Peeters, Pieter Meysman…·Kris Laukens

This paper introduces a tool that uses expert knowledge in machine learning to analyze dynamic metabolomics data, showing it performs as well as statistical methods.

20 citations

metabolomicsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedMar 1, 2018

speaq 2.0: a complete workflow for high-throughput 1D NMR spectra processing and quantification

Charlie Beirnaert, Pieter Meysman, Trung Nghia Vu…·Kris Laukens

speaq 2.0 automates 1D NMR spectral processing and quantification, reducing user interaction and enabling reproducible metabolomics analysis.

56 citations

metabolomicsstatistical model

𝕏 PostBluesky