Publications

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(2024). Spectral Bridges . Computo.

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2024.
(2024). Mixture of multilayer stochastic block models for multiview clustering . submitted to JMLR.

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2024.
(2023). Epigenetic Variation in Tree Evolution: a case study in black poplar (Populus nigra) . Bioarxiv.

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2023.
(2023). Inference of Multiscale Gaussian Graphical Model . Computo.

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2023.
(2023). Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations . BMC Ecology and Evolution.

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2023.
(2022). Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process . Computational Statistics.

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2022.
(2022). Compression structur{e}e de l'information g{e}n{e}tique et {e}tude d'association pang{e}nomique par mod{e}les additifs .

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2022.
(2022). A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping . Frontiers in Genetics.

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2022.
(2021). AI-based mobile application for antibiotic resistance testing . Nature communications.

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2021.
(2021). How marine currents and environment shape plankton genomic differentiation: a mosaic view from Tara oceans metagenomic data . Biorxiv.

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2021.
(2021). Accounting for missing actors in interaction network inference from abundance data . Journal of the Royal Statistical Society Series C: Applied Statistics.

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2021.
(2020). Tree-based Inference of Species Interaction Networks from Abundance Data . Methods in ecology and evolution.

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2020.
(2020). PPanGGOLiN: depicting microbial diversity via a partitioned pangenome graph . PLoS computational biology.

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2020.
(2020). metaVaR: introducing metavariant species models for reference-free metagenomic-based population genomics . Plos one.

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2020.
(2020). Investigating population-scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866) . Ecology and Evolution.

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2020.
(2020). Incorporating phylogenetic information in microbiome differential abundance studies has no effect on detection power and FDR control . Frontiers in microbiology.

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2020.
(2020). High heritability does not imply accurate prediction under the small additive effects hypothesis . arXiv preprint arXiv:2007.05424.

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2020.
(2020). Fast computation of genome-metagenome interaction effects . Algorithms for Molecular Biology.

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2020.
(2020). Exploring the link between additive heritability and prediction accuracy from a ridge regression perspective . Frontiers in Genetics.

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2020.
(2019). Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples . Scientific reports.

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2019.
(2019). Incomplete graphical model inference via latent tree aggregation . Statistical Modelling.

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2019.
(2019). Applications in Genomics .

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2019.
(2019). Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics . Algorithms for Molecular Biology.

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(2019). A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat . Field Crops Research.

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(2018). Quantify Genomic Heritability Through a Prediction Measure .

2018.
(2018). Learning the optimal scale for GWAS through hierarchical SNP aggregation . BMC bioinformatics.

2018.
(2018). Estimation of mixing ability for variety mixtures: Statistical models and experimental results .

2018.
(2018). Epigenetics in forest trees: state of the art and potential implications for breeding and management in a context of climate change .

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(2018). Clarifying the role of DNA methylation in tree phenotypic plasticity .

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(2017). Quantify Genomic Heritability Through a Prediction Measure .

2017.
(2017). Estimating Narrow-Sense Heritability with Ridge Regression .

2017.
(2017). Eigen-epistasis for detecting gene-gene interactions . BMC bioinformatics.

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(2017). Beyond support in two-stage variable selection . Statistics and Computing.

2017.
(2015). Significance testing for variable selection in high-dimension .

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(2015). Performance of a blockwise approach in variable selection using linkage disequilibrium information . BMC bioinformatics.

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(2015). AB0004 Characterization of Putative Pre-RA Signatures by Transcriptome Analysis .

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(2015). A greedy great approach to learn with complementary structured datasets .

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(2014). Overlapping clustering methods for networks .

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(2014). Model selection in overlapping stochastic block models . Electronic journal of statistics.

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(2013). Incorporating linkage disequilibrium blocks in Genome-Wide Association Studies . Volume PR{e}SENTATIONS ORALES.

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(2013). BP 529 F-60205 Compi{e}gne cedea-France .

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(2012). Variational Bayesian inference and complexity control for stochastic block models . Statistical Modelling.

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(2012). Sparsity by Worst-Case Penalties . arXiv preprint arXiv:1210.2077.

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(2012). SHIPS: spectral hierarchical clustering for the inference of population structure . Annals of Human Genetics; NJ, USA. WILEY-BLACKWELL.

2012.
(2012). Discriminant analysis . Wiley Interdisciplinary Reviews: Computational Statistics.

2012.
(2012). Clustering by maximizing a fuzzy .

2012.
(2011). Overlapping stochastic block models with application to the french political blogosphere . The Annals of Applied Statistics.

2011.
(2011). New consistent and asymptotically normal parameter estimates for random-graph mixture models . Journal of the Royal Statistical Society: Series B (Statistical Methodology).

2011.
(2011). Inferring multiple graphical structures . Statistics and Computing.

2011.
(2011). Defining a robust biological prior from pathway analysis to drive network inference . arXiv preprint arXiv:1101.3493.

2011.
(2011). Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies . PloS one.

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2011.
(2010). Weighted-LASSO for structured network inference from time course data . Statistical applications in genetics and molecular biology.

2010.
(2010). Strategies for online inference of model-based clustering in large and growing networks . The Annals of Applied Statistics.

2010.
(2010). New consistent and asymptotically normal estimators for random graph mixture models . arXiv preprint arXiv:1003.5165.

2010.
(2010). Clustering based on random graph model embedding vertex features . Pattern Recognition Letters.

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(2009). Spatial Data Clustering . Data Analysis.

2009.
(2009). Simone: Statistical inference for modular networks . Bioinformatics.

2009.
(2009). Overlapping stochastic block models . arXiv preprint arXiv:0910.2098.

2009.
(2009). Inferring sparse Gaussian graphical models with latent structure . Electronic Journal of Statistics.

2009.
(2009). Bayesian methods for graph clustering .

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(2008). Strategies for online inference of network mixture . Research publication.

2008.
(2008). Identification of functional modules based on transcriptional regulation structure .

2008.
(2008). Fast online graph clustering via Erdos--R{e}nyi mixture . Pattern recognition.

2008.
(2007). Parsimonious additive models . Computational statistics & data analysis.

2007.
(2007). An online classification EM algorithm based on the mixture model . Statistics and Computing.

2007.
(2006). Supervised learning for guiding hierarchy construction: Application to osteo-articular medical images database .

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(2006). Selection bias in working with the top genes in supervised classification of tissue samples . Statistical Methodology.

2006.
(2006). Feature selection in robust clustering based on Laplace mixture . Pattern Recognition Letters.

2006.
(2006). Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database .

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(2006). A Content-Based Image Retrieval System for Osteo-Articular Applications .

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(2006). A classification EM algorithm for binned data . Computational statistics & data analysis.

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(2005). Use of Micro Array Data via Model-based Classification in the Study and Prediction of Survival from Lung Cancer . Methods of Microarray Data Analysis.

2005.
(2005). Pattern recognition method for off-board automotive vehicle failure isolation . IFAC Proceedings Volumes.

2005.
(2005). P{e}nalisation l1 pour les MAG .

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(2005). Model selection via penalization in the additive Cox model .

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(2005). Discrimination par mod{e}les additifs parcimonieux . Revue d{I}ntelligence Artificielle.

2005.
(2005). Books for review If you would like to review a book, and thereby to retain it for your collection, please contact the Book Reviews Editor, whose details can be found by clicking on <U+2018>books currently available<U+2019>in the information on the Royal Statistical Society<U+2019>s Web site .

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(2005). Analyzing microarray gene expression data .

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(2005). Analyse de Donn{e}es et Data Mining . Polycopi{e} de cours, Universit{e} de Technologie de Compi{e}gne.

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(2005). A mixture model-based on-line CEM algorithm .

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(2005). A decision tree classifier for vehicle failure isolation . WIT Transactions on Information and Communication Technologies.

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(2004). Penalized additive logistic regression for cardiovascular risk prediction .

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(2004). On the simultaneous use of clinical and microarray expression data in the cluster analysis of tissue samples .

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(2004). Mixture model approach for acoustic emission control of pressure equipment .

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(2004). Microarrays in gene expression studies . Analyzing Microarray Gene Expression Data.

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(2004). G{e}n{e}ralisation du lasso aux modeles additifs .

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(2004). A mixture model approach for on-line clustering .

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(2003). Regularization methods for additive models .

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(2003). Image retrieval using mixture models and em algorithm .

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(2003). Feature selection for semisupervised learning applied to image retrieval .

2003.
(2003). A mixture model approach for binned data clustering .

2003.
(2002). Selection bias in gene extraction on the basis of microarray gene-expression data . Proceedings of the national academy of sciences.

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2002.
(2002). Clustering and Models .

2002.
(2002). A Semi-supervised Learning Approach to Image Retrieval .

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(2001). Semi-supervised marginboost .

2001.
(2001). Semi-supervised marginboost . Advances in neural information processing systems.

2001.
(2001). Prediction of ozone peaks by mixture models . Ecological modelling.

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(2001). Learning from an imprecise teacher: probabilistic and evidential approaches . Applied Stochastic Models and Data Analysis.

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(2001). Boosting mixture models for semi-supervised learning .

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(2000). Hierarchical clustering of self-organizing maps for cloud classification . Neurocomputing.

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2000.
(2000). EM algorithm for partially known labels .

2000.
(2000). Clustering by maximizing a fuzzy classification maximum likelihood criterion .

2000.
(1998). The EM Algorithm and Extensions, by GM McLachlan and T. Krishnan . Journal of Classification.

1998.
(1998). Convergence of an EM-type algorithm for spatial clustering . Pattern recognition letters.

1998.
(1998). An iterative algorithm for spatial clustering .

1998.
(1997). Clustering of spatial data by the EM algorithm .

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1997.
(1996). Constrained clustering and Kohonen self-organizing maps . Journal of Classification.

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1996.
(1996). Approche probabiliste en classification automatique et contraintes de voisinage .

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1996.
(1996). Analyzing dissimilarity matrices via Kohonen maps .

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1996.