Author

Carole Migné

Université Clermont AuvergneORCID 0000-0003-0907-2070Unclaimed 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 Dieter BeuleiD· 1 shared Emilie Sicard· 1 shared Eric BlanciD· 1 shared Estelle Pujos‐GuillotiD· 1 shared Franck GiacomoniiD· 1 shared Jennifer KirwaniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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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

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