Author

Estelle Pujos‐Guillot

Université Clermont AuvergneORCID 0000-0002-4693-5712Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metabolomics· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Stéphanie DurandiD· 2 shared Anne‐Lise RoyeriD· 1 shared Blandine ComteiD· 1 shared Bruno Le BizeciD· 1 shared Carole MignéiD· 1 shared Delphine CentenoiD· 1 shared Dieter BeuleiD· 1 shared Elfried SalanoniD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Stéphanie DurandORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 1, 2025

A benchmarking workflow for assessing the reliability of batch correction methods

Elfried Salanon, Blandine Comte, Delphine Centeno…·Julien Boccard

This paper introduces a benchmarking framework to evaluate batch correction methods in metabolomics using statistical and visualization tools.

1 citation

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsMetabolitesPeer-reviewedAug 21, 2019

WiPP: Workflow for improved Peak Picking for Gas Chromatography-Mass Spectrometry (GC-MS) data

Nico Borgsmüller, Yoann Gloaguen, Tobias Opialla…·Jennifer Kirwan

WiPP improves GC-MS peak detection by combining multi-algorithm results with machine learning-based quality assessment, enhancing accuracy and enabling algorithm comparison.

30 citations

metabolomicsmachine learning (classical)

𝕏 PostBluesky