Author

Mélanie Pétéra

Université Clermont AuvergneORCID 0000-0002-1779-6901Unclaimed ORCID profile · follow to get notified of new preprints

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

Anne‐Lise RoyeriD· 1 shared Bruno Le BizeciD· 1 shared Carole MignéiD· 1 shared Dieter BeuleiD· 1 shared Emilie Sicard· 1 shared Eric BlanciD· 1 shared Estelle Pujos‐GuillotiD· 1 shared Franck GiacomoniiD· 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

Anne‐Lise RoyerORCID

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1 paper

Recent·Most cited

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

Nico Borgsmüller, Yoann Gloaguen, Tobias Opialla, Eric Blanc, Emilie Sicard, Anne‐Lise Royer, Bruno Le Bizec, Stéphanie Durand, Carole Migné, Mélanie Pétéra, Estelle Pujos‐Guillot, Franck Giacomoni, Yann Guitton, Dieter Beule, 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.

Metabolites · Aug 21, 2019Peer-reviewedBioinformatics