Author

Deborah Custers

University of Antwerp

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Adrian CovaciiD· 1 shared Anastasia Van der Auwera· 1 shared Charlie BeirnaertiD· 1 shared Kenn FoubertiD· 1 shared Kris LaukensiD· 1 shared Laura PeetersiD· 1 shared Luc A. C. PietersiD· 1 shared Matthias CuykxiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adrian CovaciORCID

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1 paper

Recent·Most cited

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

Charlie Beirnaert, Laura Peeters, Pieter Meysman, Wout Bittremieux, Kenn Foubert, Deborah Custers, Anastasia Van der Auwera, Matthias Cuykx, Luc A. C. Pieters, Adrian Covaci, 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.

Metabolites · Mar 20, 2019Peer-reviewedBioinformatics