Publications

(2020). The first AI-based mobile application for antibiotic resistance testing . bioRxiv.

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

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

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

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

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

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(2020). Accounting for missing actors in interaction network inference from abundance data . arXiv preprint arXiv:2007.14299.

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(2019). Tree-based Inference of Species Interaction Network from Abundance Data . arXiv preprint arXiv:1905.02452.

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

(2019). Linking Allele-Specific Expression And Natural Selection In Wild Populations . bioRxiv.

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

(2019). Applications in Genomics .

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

(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.

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

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

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

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

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

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

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

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

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

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

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

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

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

(2014). Overlapping clustering methods for networks .

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

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

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

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

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

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

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

(2012). Clustering by maximizing a fuzzy .

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

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

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

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

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

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

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

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

(2009). Spatial Data Clustering . Data Analysis.

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

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

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

(2009). Bayesian methods for graph clustering .

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

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

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

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

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

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

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

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

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

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

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

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

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

(2005). Analyzing microarray gene expression data .

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

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

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

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

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

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

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

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

(2003). Regularization methods for additive models .

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

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

(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). Clustering and Models .

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

(2001). Semi-supervised marginboost .

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

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

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

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

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

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(2000). EM algorithm for partially known labels .

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

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

(1998). An iterative algorithm for spatial clustering .

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

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