Christophe Ambroise

Documents

Publications

	A Strategy for Studying Epigenetic Diversity in Natural Populations: Proof of Concept in Poplar and Oak Isabelle Lesur Kupin , Odile Rogier , Mamadou Dia Sow , Christophe Boury , Alexandre Duplan Journal of Experimental Botany, 2024, 75 (18), pp.5568-5584. ⟨10.1093/jxb/erae266⟩ Journal articles hal-04621404v1
	Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations. Romuald Laso-Jadart , Michael O'Malley , Adam M. Sykulski , Christophe Ambroise , Mohammed-Amin Madoui BMC Ecology and Evolution, 2023, 23 (1), pp.46. ⟨10.1186/s12862-023-02160-8⟩ Journal articles hal-04215576v1
	Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process Antoine Bichat , Christophe Ambroise , Mahendra Mariadassou Computational Statistics, 2022, 37 (3), pp.995-1013. ⟨10.1007/s00180-021-01148-6⟩ Journal articles hal-04072108v1
	A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping Marie Courbariaux , Kylliann De Santiago , Cyril Dalmasso , Fabrice Danjou , Samir Bekadar Frontiers in Genetics, 2022, Statistical Methods, Computing, and Resources for Genome-Wide Association Studies, Volume II, 13, ⟨10.3389/fgene.2022.859462⟩ Journal articles hal-01822237v5
	AI-based mobile application to fight antibiotic resistance Marco Pascucci , Guilhem Royer , Jakub Adamek , Mai Al Asmar , David Aristizabal Nature Communications, 2021, 12 (1), pp.1173. ⟨10.1038/s41467-021-21187-3⟩ Journal articles hal-03706771v1
	Accounting for Missing Actors in Interaction Network Inference from Abundance Data Raphaëlle Momal , Stephane S. Robin , Christophe Ambroise Journal of the Royal Statistical Society: Series C Applied Statistics, 2021, 70 (5), pp.1230-1258. ⟨10.1111/rssc.12509⟩ Journal articles hal-04495702v2
	Tree‐based inference of species interaction networks from abundance data Raphaëlle Momal , Stéphane Robin , Christophe Ambroise Methods in Ecology and Evolution, 2020, 11 (5), pp.621-632. ⟨10.1111/2041-210X.13380⟩ Journal articles hal-02918284v1
	metaVaR: introducing metavariant species models for reference-free metagenomic-based population genomics Romuald Laso-Jadart , Christophe Ambroise , Pierre Peterlongo , Mohammed-Amin Madoui PLoS ONE, 2020, ⟨10.1371/journal.pone.0244637⟩ Journal articles hal-02464983v1
	Exploring the link between additive heritability and prediction accuracy from a ridge regression perspective Arthur Frouin , Claire Dandine-Roulland , Morgane Pierre-Jean , Jean-François Deleuze , Christophe Ambroise Frontiers in Genetics, 2020, 11, pp.581594. ⟨10.3389/fgene.2020.581594⟩ Journal articles cea-04419427v1
	Incorporating Phylogenetic Information in Microbiome Differential Abundance Studies Has No Effect on Detection Power and FDR Control Antoine Bichat , Jonathan Plassais , Christophe Ambroise , Mahendra Mariadassou Frontiers in Microbiology, 2020, 11, ⟨10.3389/fmicb.2020.00649⟩ Journal articles hal-02635268v1
	Fast computation of genome-metagenome interaction effects Florent Guinot , Marie Szafranski , Julien Chiquet , Anouk Zancarini , Christine Le Signor Algorithms for Molecular Biology, 2020, 15 (1), art.13 (21p.). ⟨10.1186/s13015-020-00173-2⟩ Journal articles hal-01906069v3
	Investigating population‐scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866) Romuald Laso‐jadart , Kevin Sugier , Emmanuelle Petit , Karine Labadie , Pierre Peterlongo Ecology and Evolution, 2020, 10 (16), pp.8894-8905. ⟨10.1002/ece3.6588⟩ Journal articles hal-02999798v1
	PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph Guillaume Gautreau , Adelme Bazin , Mathieu Gachet , Rémi Planel , Laura Burlot PLoS Computational Biology, 2020, ⟨10.1371/journal.pcbi.1007732⟩ Journal articles hal-03089210v1
	A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat Emma Forst , Jerome Enjalbert , Vincent Allard , Christophe Ambroise , Inès Krissaane Field Crops Research, 2019, 242, pp.107571. ⟨10.1016/j.fcr.2019.107571⟩ Journal articles hal-02618625v1
	Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples. Marie-Ange Palomares , Cyril Dalmasso , Eric Bonnet , Céline Derbois , Solène Brohard-Julien Scientific Reports, 2019, 9, pp.1-12. ⟨10.1038/s41598-019-43983-0⟩ Journal articles hal-02270990v1
	Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics Christophe Ambroise , Alia Dehman , Pierre Neuvial , Guillem Rigaill , Nathalie Vialaneix Algorithms for Molecular Biology, 2019, 14, pp.22. ⟨10.1186/s13015-019-0157-4⟩ Journal articles hal-02006331v2
	Incomplete graphical model inference via latent tree aggregation Geneviève Robin , Christophe Ambroise , Stephane S. Robin Statistical Modelling, 2019, 19 (5), pp.545-568. ⟨10.1177/1471082X18786289⟩ Journal articles hal-01686841v1
	Learning the optimal scale for GWAS through hierarchical SNP aggregation Florent Guinot , Marie Szafranski , Christophe Ambroise , Franck Samson BMC Bioinformatics, 2018, 19 (1), pp.459 Journal articles hal-01597553v3
	Learning the optimal scale for GWAS through hierarchical SNP aggregation Florent Guinot , Marie Szafranski , Christophe Ambroise , Franck Samson BMC Bioinformatics, 2018, 19, ⟨10.1186/s12859-018-2475-9⟩ Journal articles hal-02623460v1
	Eigen-Epistasis for detecting gene-gene interactions Virginie Stanislas , Cyril Dalmasso , Christophe Ambroise BMC Bioinformatics, 2017, 18, ⟨10.1186/s12859-017-1488-0⟩ Journal articles hal-01601001v1
	Eigen-Epistasis for detecting Gene-Gene interactions Virginie Stanislas , Cyril Dalmasso , Christophe Ambroise BMC Bioinformatics, 2017, 18, pp.54 Journal articles hal-01275624v6
	Beyond support in two-stage variable selection Jean-Michel Bécu , Yves Grandvalet , Christophe Ambroise , Cyril Dalmasso Statistics and Computing, 2017, 27 (1), pp.169--179. ⟨10.1007/s11222-015-9614-1⟩ Journal articles hal-01246066v1
	Performance of a blockwise approach in variable selection using linkage disequilibrium information Alia Dehman , Christophe Ambroise , Pierre Neuvial BMC Bioinformatics, 2015, 16, pp.14. ⟨10.1186/s12859-015-0556-6⟩ Journal articles hal-01193074v1
	Model Selection in Overlapping Stochastic Block Models Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Electronic Journal of Statistics , 2014, 8, pp.762-794. ⟨10.1214/14-EJS903⟩ Journal articles hal-00990277v1
	New consistent and asymptotically normal parameter estimates for random-graph mixture models Christophe Ambroise , Catherine Matias Journal of the Royal Statistical Society: Series B, 2012, 74, ⟨10.1111/j.1467-9868.2011.01009.x⟩ Journal articles hal-00647817v1
	SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies Matthieu Bouaziz , Caroline Paccard , Mickaël Guedj , Christophe Ambroise PLoS ONE, 2012, 7 (10), ⟨10.1371/journal.pone.0045685⟩ Journal articles hal-02644356v1
	Variational Bayesian Inference and Complexity Control for Stochastic Block Models Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Statistical Modelling, 2012, 12 (1), pp.93-115. ⟨10.1177/1471082X1001200105⟩ Journal articles hal-00624536v1
	OVERLAPPING STOCHASTIC BLOCK MODELS WITH APPLICATION TO THE FRENCH POLITICAL BLOGOSPHERE Pierre Latouche , Etienne Birmelé , Christophe Ambroise Annals of Applied Statistics, 2011, 5 (1), pp.309 - 336. ⟨10.1214/10-AOAS382⟩ Journal articles hal-02652556v1
	Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies Matthieu Bouaziz , Christophe Ambroise , Mickaël Guedj PLoS ONE, 2011, 6 (12), ⟨10.1371/journal.pone.0028845⟩ Journal articles hal-02649658v1
	Inferring Multiple Graphical Structures Julien Chiquet , Yves Grandvalet , Christophe Ambroise Statistics and Computing, 2011, 21 (4), pp.537-553. ⟨10.1007/s11222-010-9191-2⟩ Journal articles hal-00660169v1
	Weighted-LASSO for Structured Network Inference from Time Course Data Camille Charbonnier , Julien Chiquet , Christophe Ambroise Statistical Applications in Genetics and Molecular Biology, 2010, 9 (1), pp.15. ⟨10.2202/1544-6115.1519⟩ Journal articles hal-01597614v1
	Clustering based on random graph model embedding vertex features Hugo Zanghi , Stevenn Volant , Christophe Ambroise Pattern Recognition Letters, 2010, 31 (9), pp.830-836. ⟨10.1016/j.patrec.2010.01.026⟩ Journal articles pasteur-02612862v1
	SIMoNe: Statistical Inference for MOdular NEtworks. Julien Chiquet , Alexander Smith , Gilles Grasseau , Catherine Matias , Christophe Ambroise Bioinformatics, 2009, 25 (3), pp.417-418. ⟨10.1093/bioinformatics/btn637⟩ Journal articles hal-00592218v1
	Inferring sparse Gaussian graphical models with latent structure Christophe Ambroise , Julien Chiquet , Catherine Matias Electronic Journal of Statistics , 2009, 3, pp.205-238. ⟨10.1214/08-EJS314⟩ Journal articles hal-00592201v1
	Inferring sparse Gaussian graphical models with latent structure Christophe Ambroise , Julien Chiquet , Catherine Matias Electronic Journal of Statistics , 2009, ⟨10.1214/08-EJS314⟩ Journal articles inria-00591491v1
	Identification of functional modules based on transcriptional regulation structure Etienne Birmele , Mohamed Elati , Céline Rouveirol , Christophe Ambroise BMC Proceedings, 2008, 2 (4), pp.S4 Journal articles hal-00730904v1
	Parsimonious Additive Models Marta Avalos , Yves Grandvalet , Christophe Ambroise Computational Statistics and Data Analysis, 2007, 51 (6), pp.2851-2870. ⟨10.1016/j.csda.2006.10.007⟩ Journal articles inserm-00149798v1
	Discrimination par modèles additifs parcimonieux Marta Avalos , Yves Grandvalet , Christophe Ambroise Revue dÍntelligence Artificielle, 2005, 19 (4-5), pp.661-682 Journal articles inserm-00149790v1
	Hierarchical clustering of self-organizing maps for cloud classification Christophe Ambroise , Geneviève Sèze , Fouad Badran , Sylvie Thiria Neurocomputing, 2000, 30 (1-4), pp.47-52. ⟨10.1016/S0925-2312(99)00141-1⟩ Journal articles hal-03183040v1

	Seismic data study.- Rapport d'avancement no. 2, Serge Antoine Séguret , Christophe Ambroise , Michel Schmitt 1996 Reports hal-00777229v1

	An interdisciplinary approach to increase wheat within-field diversity and promote agro-ecosystem services Jérôme Enjalbert , Vincent Allard , Christophe Ambroise , Bruno Andrieu , S. Barot European Conference on Crop Diversification, Sep 2019, Budapest, Hungary Conference papers hal-04481348v1
	Quantify Genomic Heritability Through a Prediction Measure Arthur Frouin , Edith Le Flocch , Christophe Ambroise 46th European Mathematical Genetics Meeting (EMGM), Apr 2018, Cagliari, Italy. pp.2, ⟨10.1159/000488519⟩ Conference papers hal-02737176v1
	Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics Christophe Ambroise , Alia Dehman , Michel Koskas , Pierre Neuvial , Guillem Rigaill Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Dec 2018, Toulouse, France Conference papers hal-02788245v1
	PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph Guillaume Gautreau , Christophe Ambroise , Catherine Matias , Amandine Perrin , Rémi Planel JOBIM 2018 Journées Ouvertes Biologie, Informatique et Mathématiques, Jul 2018, Marseille, France Conference papers hal-04355945v1
	PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph Guillaume Gautreau , Christophe Ambroise , Catherine Matias , Amandine Perrin , Rémi Planel Genome Informatics 2018, Sep 2018, Hinxton, Cambridge, United Kingdom Conference papers hal-04356757v1
	Significance testing for variable selection in high-dimension Jean-Michel Bécu , Yves Grandvalet , Christophe Ambroise , Cyril Dalmasso Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Aug 2015, Niagara Falls, Canada. pp.1-8, ⟨10.1109/CIBCB.2015.7300313⟩ Conference papers hal-01313310v1
	A greedy great approach to learn with complementary structured datasets Christophe Ambroise , Julien Chiquet , Marie Szafranski Greed Is Great ICML Workshop, Jul 2015, Lille, France Conference papers hal-01246419v1
	Inférence jointe de la structure de modèles graphiques gaussiens Julien Chiquet , Yves Grandvalet , Christophe Ambroise CAp'2010, May 2010, France. pp.217-232 Conference papers hal-00936741v1
	Modèles de graphe aléatoire à classes chevauchantes pour l'analyse des réseaux Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise 42èmes Journées de Statistique, 2010, Marseille, France, France Conference papers inria-00494820v1
	A latent logistic model to uncover overlapping clusters in networks Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Atelier AGS (Apprentissage et Graphes pour les Systèmes complexes), May 2009, Hammamet, Tunisia. pp.3-8 Conference papers hal-00629310v1
	Uncovering overlapping clusters in biological networks Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), Jun 2009, Nantes, France. pp.28 Conference papers hal-00629321v1
	Les modèles de mélange pour la classification de données massives en temps réel Allou Samé , Gérard Govaert , Christophe Ambroise 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France Conference papers inria-00386796v1
	Model selection via penalization in the additive Cox model Marta Avalos , Yves Grandvalet , Christophe Ambroise The 3rd world conference on Computational Statistics & Data Analysis, 2005, Limassol, Cyprus. pp.45 Conference papers inserm-00149852v1
	Pénalisation l1 pour les MAG Marta Avalos , Yves Grandvalet , Christophe Ambroise 2005, pp.25.1 Conference papers inserm-00149856v1
	Penalized additive logistic regression for cardiovascular risk prediction Marta Avalos , Yves Grandvalet , Christophe Ambroise 2004, pp.301 Conference papers inserm-00149854v1
	Généralisation du lasso aux modèles additifs Marta Avalos , Yves Grandvalet , Christophe Ambroise 2004, pp.83 Conference papers inserm-00149858v1
	Discriminative Classification vs Modeling Methods in CBIR Philippe-Henri Gosselin , Micheline Najjar , Matthieu Cord , Christophe Ambroise IEEE International Conference on Advanced Concepts for Intelligent Vision Systems, Sep 2004, Belgium. pp.1 Conference papers hal-00520316v1
	Mixture model approach for acoustic emission control of pressure equipment Hani Hamdan , Gérard Govaert , Christophe Ambroise , Catherine Hervé 5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, Oct 2004, Senlis, France. pp.1-10 Conference papers hal-01377401v1
	Regularization methods for additive models Marta Avalos , Yves Grandvalet , Christophe Ambroise 2003, pp.509-520 Conference papers inserm-00149855v1
	Boosting mixture models for semi-supervised learning task Yves Grandvalet , Florence d'Alché-Buc , Christophe Ambroise ICANN 2001 - International Conference on Artificial Neural Networks, Aug 2001, Vienne, Austria. pp.41-48, ⟨10.1007/3-540-44668-0_7⟩ Conference papers hal-01570826v1
	Semi-supervised marginboost Florence d'Alché-Buc , Yves Grandvalet , Christophe Ambroise NIPS 2001 - 14th International Conference on Neural Information, Dec 2001, Vancouver, BC, Canada. pp.553-560 Conference papers hal-01561463v1

	Compression structurée de l’information génétique et étude d’association pangénomique par modèles additifs Florent Guinot , Marie Szafranski , Christophe Ambroise Intégration de données biologiques, ISTE Group, pp.129-163, 2022, ⟨10.51926/ISTE.9030.ch5⟩ Book sections hal-04506050v1
	Applications in Genomics Stephane S. Robin , Christophe Ambroise FruhwirthSchnatter, S; Celeux, G; Robert, CP. HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR & FRANCIS GROUP, 2019, Chapman & Hall-CRC Handbooks of Modern Statistical Methods, 978-0-429-50824-0; 978-1-4987-6381-3 Book sections hal-03111649v1
	Epigenetics in Forest Trees: State of the Art and Potential Implications for Breeding and Management in a Context of Climate Change Mamadou Dia Sow , Isabel Allona , Christophe Ambroise , Daniel Conde , Régis R. Fichot Plant Epigenetics Coming of Age for Breeding Applications, 88, Academic press, Elsevier, 454 p., 2018, Advances in Botanical Research, 9780128154038. ⟨10.1016/bs.abr.2018.09.003⟩ Book sections hal-02791217v1
	Overlapping clustering methods for networks Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg. Chapman and Hall/CRC. Handbook of Mixed Membership Models and Their Applications, Chapman and Hall/CRC, in press, 2014 Book sections hal-00984395v1
	Bayesian methods for graph clustering Pierre Latouche , Etienne E. Birmelé , Christophe Ambroise Andreas Fink, Berthold Lausen, Wilfried Seidel and Alfred Ultsch. Advances in Data Analysis, Data Handling and Business Intelligence, Springer, pp.229-239, 2009, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-642-01043-9. ⟨10.1007/978-3-642-01044-6⟩ Book sections hal-00629294v1

	Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics Christophe Ambroise , Alia Dehman , Pierre Neuvial , Guillem Rigaill , Nathalie Vialaneix Statistical Methods for Post Genomic Data (SMPGD 2019), Jan 2019, Barcelona, Spain. 2019 Conference poster hal-02790995v1
	PanGBank: depicting microbial species diversity via PPanGGOLiN Guillaume Gautreau , Adelme Bazin , Rémi Planel , Mathieu Gachet , Mathieu Dubois JOBIM 2019 Journées Ouvertes Biologie, Informatique et Mathématiques, Jul 2019, Nantes, France Conference poster hal-04358380v1
	A greedy great approach to learn with complementary structured datasets Julien Chiquet , Marie Szafranski , Christophe Ambroise ICML 2015 International Conference on Machine Learning, Jul 2015, Lille, France. 2015, Greed Is Great ICML Workshop, Jul 2015, Lille, France Conference poster hal-01608307v1

	Mixture of stochastic block models for multiview clustering Kylliann De Santiago , Marie Szafranski , Christophe Ambroise ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.151-156, 2023, ⟨10.14428/esann/2023.ES2023-54⟩ Proceedings hal-04363422v1

	Epigenetic Variation in Tree Evolution: a case study in black poplar (Populus nigra) Mamadou Dia Sow , Odile Rogier , Isabelle Lesur , Christian Daviaud , Emile Mardoc 2023 Preprints, Working Papers, ... hal-04170410v1
	Linking Allele-Specific Expression And Natural Selection In Wild Populations Romuald Laso-Jadart , Kevin Sugier , Emmanuelle Petit , Karine Labadie , Pierre Peterlongo 2019 Preprints, Working Papers, ... hal-02275928v1
	Beyond Support in Two-Stage Variable Selection Jean-Michel Bécu , Yves Grandvalet , Christophe Ambroise , Cyril Dalmasso 2015 Preprints, Working Papers, ... hal-01145426v1
	Méthodes d'Apprentissage pour la Recherche d'Images par le Contenu. Philippe-Henri Gosselin , Micheline Najjar , Matthieu Cord , Christophe Ambroise , Sylvie Philipp-Foliguet 2004 Preprints, Working Papers, ... hal-00520277v1

	adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix (R package, available on CRAN) Pierre Neuvial , Christophe Ambroise , Shubham Chaturvedi , Alia Dehman , Michel Koskas 2017 Software hal-02791370v1

Christophe Ambroise

Publications

A Strategy for Studying Epigenetic Diversity in Natural Populations: Proof of Concept in Poplar and Oak

Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations.

Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process

A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping

AI-based mobile application to fight antibiotic resistance

Accounting for Missing Actors in Interaction Network Inference from Abundance Data

Tree‐based inference of species interaction networks from abundance data

metaVaR: introducing metavariant species models for reference-free metagenomic-based population genomics

Exploring the link between additive heritability and prediction accuracy from a ridge regression perspective

Incorporating Phylogenetic Information in Microbiome Differential Abundance Studies Has No Effect on Detection Power and FDR Control

Fast computation of genome-metagenome interaction effects

Investigating population‐scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866)

PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph

A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat

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

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics

Incomplete graphical model inference via latent tree aggregation

Learning the optimal scale for GWAS through hierarchical SNP aggregation

Learning the optimal scale for GWAS through hierarchical SNP aggregation

Eigen-Epistasis for detecting gene-gene interactions

Eigen-Epistasis for detecting Gene-Gene interactions

Beyond support in two-stage variable selection

Performance of a blockwise approach in variable selection using linkage disequilibrium information

Model Selection in Overlapping Stochastic Block Models

New consistent and asymptotically normal parameter estimates for random-graph mixture models

SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies

Variational Bayesian Inference and Complexity Control for Stochastic Block Models

OVERLAPPING STOCHASTIC BLOCK MODELS WITH APPLICATION TO THE FRENCH POLITICAL BLOGOSPHERE

Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies

Inferring Multiple Graphical Structures

Weighted-LASSO for Structured Network Inference from Time Course Data

Clustering based on random graph model embedding vertex features

SIMoNe: Statistical Inference for MOdular NEtworks.

Inferring sparse Gaussian graphical models with latent structure

Inferring sparse Gaussian graphical models with latent structure

Identification of functional modules based on transcriptional regulation structure

Parsimonious Additive Models

Discrimination par modèles additifs parcimonieux

Hierarchical clustering of self-organizing maps for cloud classification

Seismic data study.- Rapport d'avancement no. 2,

An interdisciplinary approach to increase wheat within-field diversity and promote agro-ecosystem services

Quantify Genomic Heritability Through a Prediction Measure

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics

PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph

PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph

Significance testing for variable selection in high-dimension

A greedy great approach to learn with complementary structured datasets

Inférence jointe de la structure de modèles graphiques gaussiens

Modèles de graphe aléatoire à classes chevauchantes pour l'analyse des réseaux

A latent logistic model to uncover overlapping clusters in networks

Uncovering overlapping clusters in biological networks

Les modèles de mélange pour la classification de données massives en temps réel

Model selection via penalization in the additive Cox model

Pénalisation l1 pour les MAG

Penalized additive logistic regression for cardiovascular risk prediction

Généralisation du lasso aux modèles additifs

Discriminative Classification vs Modeling Methods in CBIR

Mixture model approach for acoustic emission control of pressure equipment

Regularization methods for additive models

Boosting mixture models for semi-supervised learning task

Semi-supervised marginboost

Compression structurée de l’information génétique et étude d’association pangénomique par modèles additifs

Applications in Genomics

Epigenetics in Forest Trees: State of the Art and Potential Implications for Breeding and Management in a Context of Climate Change

Overlapping clustering methods for networks

Bayesian methods for graph clustering

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics

PanGBank: depicting microbial species diversity via PPanGGOLiN

A greedy great approach to learn with complementary structured datasets

Mixture of stochastic block models for multiview clustering

Epigenetic Variation in Tree Evolution: a case study in black poplar (Populus nigra)

Linking Allele-Specific Expression And Natural Selection In Wild Populations

Beyond Support in Two-Stage Variable Selection

Méthodes d'Apprentissage pour la Recherche d'Images par le Contenu.

adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix (R package, available on CRAN)