Vincent Guillemot
Présentation
Je suis actuellement biostatisticien au sein du Hub de bio-informatique et biostatistique. Avant cela, j'ai travaillé à l'Institut du Cerveau (Paris, France), NeuroSpin (Saclay, France) et à l'Université Ludwig Maximilian (Munich, Allemagne). Mes domaines d'expertise incluent la biostatistique, les statistiques multivariées, la visualisation des données, l'intégration de données statistiques et l'apprentissage automatique. Mes activités d'enseignement vont de l'introduction aux concepts de base en statistique jusqu'aux aspects théoriques de l'optimisation convexe.
Compétences
Publications
Publications
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Sparse DiSTATIS on categorical dataCARME Correspondence Analysis and Related Methods, Universität Bonn, Sep 2023, Bonn, Germany |
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CCQTL: facilitating QTL mapping in the Collaborative Cross20th Annual Meeting of the Complex Trait Community | Rat Genome & Models, University of Tennessee Health Science Center [Memphis, Tennessee], Oct 2023, Memphis, TN, United States |
Etude de la Pénalisation GraphNet en Analyse de Données Multi-blocs53èmes Journées de Statistiques, Jun 2022, Lyon, France |
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Introducing group-sparsity and orthogonality constraints in RGCCAJdS2021 : 52èmes Journées de Statistique, Jun 2021, Nice, France |
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Sparse Multiple Correspondence Analysis52èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2020, Nice, France. pp.830-835 |
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Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimers's diseaseISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨10.1109/ISBI.2019.8759593⟩ |
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Multiblock analysis of omics and imaging data with variable selectionJournées RITS 2015, Mar 2015, Dourdan, France. pp.P28-29 Section imagerie génétique |
Structured variable selection for generalized canonical correlation analysisPLS’14, May 2014, Paris, France |
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Multiblock Logistic Regression for High Dimensional DataPLS 2014, May 2014, Paris, France |
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A multi-block approach in imaging genetics9th International Imaging Genetics Conference, Jan 2013, Irvine, California, United States. pp.Poster 13 |
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Shrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data58th World Statistics Congress of the International Statistical Institute (ISI'11), Aug 2011, Dublin, Ireland. 16 p |
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Une variante des tests de sphéricité pour l'adéquation de données transcriptomiques à un graphe de régulations génétiquesJournée Ouverte en Biologie et Mathématiques (JOBIM'09), Jun 2009, Nantes, France. pp.219-220 |
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Grouping levels of exposure with same observable effects before class prediction in toxicogenomics.IEEE Computer Society, Biotechno08, International Conference on Bioinformatics, and Biomedical Technologies, Digital Library, 2008, France. pp. 164-169, ⟨10.1109/BIOTECHNO.2008.17⟩ |
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Graph-Constrained Discriminant Analysis of functional genomics dataIEEE International Conference on Bioinformatics and Biomedicine Worshops, Nov 2008, Philadelphia, United States. pp. 207-210, ⟨10.1109/BIBMW.2008.4686237⟩ |
Identification of differentially expressed genes: a comparison between wrapper and filter methodsProceedings of the International Workshop on Machine Learning in Systems Biology, Sep 2007, Evry, France |
Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis, The Multiple Facets of Partial Least Squares and Related MethodsSpringer Proceedings in Mathematics & Statistics, pp.129-139, 2016, The Multiple Facets of Partial Least Squares and Related Methods, ⟨10.1007/978-3-319-40643-5_10⟩ |
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Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics StudiesNew Perspectives in Partial Least Squares and Related Methods, Springer, pp.147-158, 2013, Springer Proceedings in Mathematics & Statistics, ⟨10.1007/978-1-4614-8283-3_9⟩ |
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Application de méthodes de classification supervisée et intégration de données hétérogènes pour des données transcriptomiques à haut-débitSciences du Vivant [q-bio]. Université Paris Sud - Paris XI, 2010. Français. ⟨NNT : ⟩ |
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Impact of joint Dimension Reduction methods for survival prediction - extension of a multi-omics benchmark studyISMB/ECCB 2025, Jul 2025, Liverpool, United Kingdom |
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Impact of joint Dimension Reduction methods for survival prediction - Extension of a multi-omics benchmark studyJournées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), Jun 2024, Toulouse, France |
Sparse MDS and sparse DiSTATIS for brain connectivity dataOHBM, Jul 2023, Montreal, Canada |
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Multidimensional Approaches in the Study of Autistic Traits using Behavioral and Imaging DataOrganization of Human Brain Mapping, Jun 2019, Rome, Italy |
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Heritability of the language network using resting state fMRI dataCOGNOMICS Conference 2019: Bridging Gaps, Sep 2019, Nijmegen, Netherlands |