Christine Sinoquet

Publications

Article dans une revue (13)

Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting—application to machine health prognostics Fatoumata Dama,Christine Sinoquet Machine Learning, 2022, 112 (1), pp.45-97. ⟨10.1007/s10994-022-06209-5⟩ Article dans une revue hal-04586874v1
SMMB: a stochastic Markov blanket framework strategy for epistasis detection in GWAS Clément Niel,Christine Sinoquet,Christian Dina,Ghislain Rocheleau Bioinformatics, 2018, 34 (16), pp.2773-2780. ⟨10.1093/bioinformatics/bty154⟩ Article dans une revue hal-01986668v1
A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies Christine Sinoquet BMC Bioinformatics, 2018, 19 (1), pp.106. ⟨10.1186/s12859-018-2054-0⟩ Article dans une revue hal-01984726v1
A survey about methods dedicated to epistasis detection Clément Niel,Christine Sinoquet,Christian Dina,Ghislain Rocheleau Frontiers in Genetics, 2015, 6 (Article 285), pp.19. ⟨10.3389/fgene.2015.00285⟩ Article dans une revue hal-01205577v1
A survey on latent tree models and applications Raphaël Mourad,Christine Sinoquet,N. Zhang,T. Liu,Philippe Leray Journal of Artificial Intelligence Research, 2013, 47, pp.157-203. ⟨10.1613/jair.3879⟩ Article dans une revue hal-00828445v1
Alternative Methods for H1 Simulations in Genome-Wide Association Studies Vittorio Perduca,Christine Sinoquet,Raphaël Mourad,Gregory Nuel Human Heredity, 2012, 73 (2), pp.95-104. ⟨10.1159/000336194⟩ Article dans une revue hal-00686364v1
Probabilistic graphical models for genetic association studies Raphaël Mourad,Christine Sinoquet,Philippe Leray Briefings in Bioinformatics, 2012, 13 (1), pp.20-33. ⟨10.1093/bib/BBR015⟩ Article dans une revue hal-00573325v1
Visualization of pairwise and multilocus linkage disequilibrium structure using latent forests. Raphaël Mourad,Christine Sinoquet,Christian Dina,Philippe Leray PLoS ONE, 2011, 6 (12), pp.e27320. ⟨10.1371/journal.pone.0027320⟩ Article dans une revue hal-00655876v1
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies. Raphaël Mourad,Christine Sinoquet,Philippe Leray BMC Bioinformatics, 2011, 12 (1), pp.16. ⟨10.1186/1471-2105-12-16⟩ Article dans une revue hal-00567988v1
Iterative two-pass algorithm for missing data imputation in SNP arrays Christine Sinoquet Journal of Bioinformatics and Computational Biology, 2009, 7 (5), pp.833-852. ⟨10.1142/S0219720009004357⟩ Article dans une revue hal-00423339v1
Temporal constraints of a gene regulatory network: Refining a qualitative simulation. Jamil Ahmad,Jérémie Bourdon,Damien Eveillard,Jonathan Fromentin,Olivier Rouxet al. BioSystems, 2009, 98 (3), pp.149-159. ⟨10.1016/j.biosystems.2009.05.002⟩ Article dans une revue istex hal-00415921v1
Large-scale computational and statistical analyses of high transcription potentialities in 32 prokaryotic genomes Christine Sinoquet,Sylvain Demey,Frédérique Braun Nucleic Acids Research, 2008, 36 (10), pp.3332-3340. ⟨10.1093/nar/gkn135⟩ Article dans une revue hal-00423408v1
Maximal sub-triangulation in preprocessing phylogenetic data Anne Berry,Alain Sigayret,Christine Sinoquet Soft Computing, 2006, 10 (5), pp.461-468. ⟨10.1007/s00500-005-0507-7⟩ Article dans une revue istex hal-00423418v1

Communication dans un congrès (34)

Assessing Graph Neural Networks for latency and power consumption prediction in application mappings on multicore architectures Oscar Roussel,Zainab Ghrayeb,Sébastien Le Nours,Christine Sinoquet European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2026, Bruges, Belgium Communication dans un congrès hal-05471943v1
Graph Neural Networks for Graph-Level Regression on Heterogeneous Network Data: Use Case in Early-Stage Optimization of Software Mapping on Multicore Platforms Oscar Roussel,Zainab Ghrayeb,Sébastien Le Nours,Christine Sinoquet Symposium on Intelligent Data Analysis (IDA 2026), Apr 2026, Leiden, Netherlands. paper ID 22 Communication dans un congrès hal-05477204v1
Deep joint modelling of mixed asynchronous streams - Proof of concept for data-driven simulation of a digital patient under anaesthesia Julien Paris,Christine Sinoquet,Fadoua Taia-Alaoui,Corinne Lejus-Bourdeau 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), KES, Sep 2024, Seville (Spain), Spain. pp.2597 - 2606, ⟨10.1016/j.procs.2024.09.438⟩ Communication dans un congrès hal-05133101v1
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis. Fatoumata Dama,Christine Sinoquet 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), IEEE-CS, Nov 2021, virtual event, United States Communication dans un congrès hal-03345260v1
Detection of gene-gene interactions: methodological comparison on real-world data and insights on synergy between methods. Hugo Boisaubert,Christine Sinoquet International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC2019, Feb 2019, Prague, Czech Republic. pp.30-42, ⟨10.5220/0007374400300042⟩ Communication dans un congrès hal-01986665v1
Enhanced ensemble approach to learn Markov blankets for feature subset selection in high-dimensional settings. Illustration with an application to mine genetic data. Clément Niel,Christine Sinoquet Cap2018 (French Conference on Machine Learning), Jun 2018, Rouen, France Communication dans un congrès hal-01986670v1
Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application. Christine Sinoquet,Kamel Mekhnacha 17th International Symposium on Intelligent Data Analysis, IDA2018, Oct 2018, 's-Hertogenbosch, Netherlands. pp.290-302, ⟨10.1007/978-3-030-01768-2_24⟩ Communication dans un congrès hal-01986660v1
Enhancement of a stochastic Markov blanket framework with ant colony optimization, to uncover epistasis in genetic association studies. Christine Sinoquet,Clément Niel ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2018, Bruges, Belgium. pp.673-678 Communication dans un congrès hal-01984753v1
Combining latent tree modeling with a random forest-based approach, for genetic association studies Christine Sinoquet,Kamel Mekhnacha 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, Apr 2018, Bruges, Belgium. pp.225-230 Communication dans un congrès hal-01984665v1
Optimisation par colonie de fourmis pour la sélection de variables par construction stochastique de couverture de Markov - Application pour la médecine de précision. Clément Niel,Christine Sinoquet 19th edition of the annual congress of the French Society for Operation Research and Decision Assistance, ROADEF2018, Feb 2018, Lorient, France Communication dans un congrès hal-01986671v1
Random forest framework customized to handle highly correlated variables: an extensive experimental study applied to feature selection in genetic data. Christine Sinoquet,Kamel Mekhnacha IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA2018, Oct 2018, Turin, Italy. pp.217-226, ⟨10.1109/dsaa.2018.00032⟩ Communication dans un congrès hal-01986653v1
Ant colony optimization for Markov blanket-based feature selection. Application for precision medicine Christine Sinoquet,Clément Niel 4th International Conference on Machine Learning, Optimization, and Data Science, LOD2018, Sep 2018, Volterra, Tuscany, Italy. 12 p., ⟨10.1007/978-3-030-13709-0_18⟩ Communication dans un congrès hal-01986649v1
Impact du choix de la méthode de partitionnement pour les forêts d'arbres latents Duc-Thanh Phan,Philippe Leray,Christine Sinoquet SFC2015, P. Kuntz, Sep 2015, Nantes, France. pp.24-27 Communication dans un congrès hal-01205544v1
Modeling genetical data with forests of latent trees for applications in association genetics at a large scale. Which clustering method should be chosen? Duc-Thanh Phan,Philippe Leray,Christine Sinoquet International Conference on Bioinformatics Models, Methods and Algorithms, Bioinformatics2015, Nov 2014, Lisbon, Portugal. pp.12 Communication dans un congrès hal-01084907v1
Modeling of genotype data with forests of latent trees to detect genetic causes of diseases Christine Sinoquet,Raphaël Mourad,Philippe Leray Ado2013 (Machine Learning and Omics Data), Dec 2013, Lille, France. 6 p Communication dans un congrès hal-00915538v1
Forests of latent tree models for the detection of genetic associations Christine Sinoquet,Raphaël Mourad,Philippe Leray International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2012), Feb 2012, Vilamoura, Portugal. pp.1-10, ⟨10.5220/0003703400050014⟩ Communication dans un congrès hal-00637500v1
Simulation of phenotypes under H1 in genome wide association studies and applications. Vittorio Perduca,Raphaël Mourad,Christine Sinoquet,Grégory Nuel Fourth edition of workshop Statistical Methods for Post Genomics Analysis, SMPGD2012, France, Lyon, january 26-27, Jan 2012, Lyon, France Communication dans un congrès hal-00915541v1
Waffect: a method to simulate case-control samples in genome-wide association studies. Vittorio Perduca,Raphaël Mourad,Christine Sinoquet,Gregory Nuel JOBIM, Jun 2011, Paris, France. 7 p Communication dans un congrès hal-01986673v1
Waffect : a method to simulate case-control samples in genome-wide association studies. Vittorio Perduca,Raphaël Mourad,Christine Sinoquet,Grégory Nuel 43ème édition des journées de la Société Française de Statistique, May 2011, Gammarth, Tunisia Communication dans un congrès hal-00915543v1
Apprentissage de réseaux bayésiens hiérarchiques latents pour les études d'association pangénomiques Raphaël Mourad,Christine Sinoquet,Philippe Leray Proc. JFRB 2010, 5th French-speaking meeting on Bayesian networks, Nantes, May 2010, Nantes, France. pp.11-12 Communication dans un congrès hal-00484706v1
Réseaux bayésiens hiérarchiques avec variables latentes pour la modélisation des dépendances entre SNP: une approche pour les études d'association pangénomiques Raphaël Mourad,Christine Sinoquet,Philippe Leray Proc. SFC 2010, XVIIth Join Meeting of the French Society of Classification, France, Saint-Denis de la Réunion, 9-11 june, Jun 2010, Saint-Denis de la Réunion, France. pp.25-29 Communication dans un congrès hal-00484705v1
Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies Raphaël Mourad,Christine Sinoquet,Philippe Leray COMPSTAT, Nineteenth International Conference on Computational Statististics, Aug 2010, Paris, France. pp.549-556 Communication dans un congrès hal-00484696v1
Hierarchical Bayesian networks applied to association genetics Raphaël Mourad,Christine Sinoquet,Philippe Leray MODGRAPH 2010 (Modèles graphiques probabilistes pour l'intégration de données hétérogènes et la découverte de modèles causaux en biologie), Journée satellite de JOBIM 2010, Sep 2010, Montpellier, France Communication dans un congrès hal-00915546v1
Modélisation des dépendances locales entre SNP à l'aide d'un réseau bayésien Raphaël Mourad,Christine Sinoquet,Philippe Leray Proc. SFC'09, XVIth Join Meeting of the French Society of Classification, actes des 16èmes rencontres de la Société Francophone de Classification, Sep 2009, Grenoble, France. pp.169-172 Communication dans un congrès hal-00423461v1
SNPShuttle: bi-directional scan of SNP arrays to gain accuracy in missing genotype inference Christine Sinoquet Proc. Seventh Asia-Pacific Bioinformatics Conference, APBC2009, ISBN 978-7-302-19048-6, Jan 2009, Beijing, China. pp.915-925 Communication dans un congrès hal-00423431v1
A Bayesian network approach to model local dependencies among SNPs Raphaël Mourad,Christine Sinoquet,Philippe Leray MODGRAPH 2009 Probabilistic graphical models for integration of complex data and discovery of causal models in biology, satellite meeting of JOBIM 2009, Jun 2009, Nantes, France Communication dans un congrès hal-00470528v1
Reverse translation of amino-acid sequences: a method guided by an n-gram model Christine Sinoquet Proc. JOBIM 2000 : Journées Ouvertes pour la Biologie, l'Informatique et les Mathématiques Open workshop for Biology, Computer Science and Mathematics, May 2000, Montpellier, France. pp.343-350 Communication dans un congrès hal-00423459v1
Extending the Hardness of RNA Secondary Structure Comparison Guillaume Blin,Guillaume Fertin,Irena Rusu,Christine Sinoquet 1st International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies (ESCAPE 2007), Apr 2007, Hangzhou, China. pp.140-151 Communication dans un congrès hal-00418248v1
A novel approach for structured consensus motif inference under specificity and quorum constraints Christine Sinoquet Proc. Fourth Asia-Pacific Bioinformatics Conference, APBC2006, Advances in Bioinformatics and Computational Biology, ISBN 1-86094-623-2, Feb 2006, Taipei, Taiwan. pp.207-216 Communication dans un congrès hal-00423435v1
When chance helps inferring a structured consensus motif from DNA sequences: study of the metaheuristics approach Kaos Christine Sinoquet Proc. CompBioNets2005, Algorithms and Computational Methods for Biochemical and Evolutionary Networks, ISBN 1904987311, Dec 2005, Lyon, France. pp.107-132 Communication dans un congrès hal-00423436v1
A cooperative strategy dedicated to structured motif discovery in genomic data Christine Sinoquet Proc. Fith ALIO-EURO Conference on Combinatorial Optimization, Oct 2005, Paris, France. pp.106-107 Communication dans un congrès hal-00423457v1
Révélation de motif consensus fonctionnel dans un génome Christine Sinoquet FRANCORO IV, International French-speaking Conference on Operational Research, Oct 2004, Fribourg, Switzerland. pp.89-90 Communication dans un congrès hal-00423458v1
Maximal sub-triangulation as preprocessing phylogenetic data Anne Berry,Alain Sigayret,Christine Sinoquet International Conference Journées de l'Informatique Messine, Sep 2003, Metz, France Communication dans un congrès hal-00522361v1
Interdépendances nappe-gravières en région Alsace A. Durbec,Christine Sinoquet,M. Lafont Forum scientifique «bravo l'eau», 29 mars 1990, au Conseil Général du Haut-Rhin à Colmar, 1990, France. 8 p Communication dans un congrès hal-02609014v1

Poster de conférence (1)

Machine Learning Approaches for Application Mapping Optimization in Network-on-Chip Architectures Zainab Ghrayeb,Sébastien Le Nours,Christophe Moy,Jordane Lorandel,Christine Sinoquet Colloque du GDR SOC2, Jun 2025, Lorient, France. pp.sciencesconf.org:gdr-soc2-2025:641241, 2025 Poster de conférence hal-05069557v1

Ouvrages (2)

Probabilistic graphical models for genetics, genomics and postgenomics Christine Sinoquet,Raphaël Mourad Keith Mansfield. Oxford University Press, 480 p., 2014, 978-0-19-870902-2 Ouvrages hal-01168658v1
Biomedical Engineering Systems and Technologies, 7th International Joint Conference, BIOSTEC2014, Extended Selected Papers Alberto Cliquet Jr,Mário Forjaz Secca,Jan Schier,Oscar Pastor,Christine Sinoquetet al. Springer, 2014, Communication in Computer and Information Science Ouvrages hal-01169026v1

Chapitre d'ouvrage (7)

Machine learning and combinatorial optimization to detect gene-gene interactions in genome-wide real data: looking through the prism of four methods and two protocols Hugo Boisaubert,Christine Sinoquet Biomedical Engineering Systems and Technologies, 12th International Joint Conference, BIOSTEC2019, Czech Republic, Prague, 22-24 february, Extended Selected Papers, Communication in Computer and Information Science, A. Fred and H. Gamboa (eds.), Springer, 29 pages, In press Chapitre d'ouvrage hal-02455132v1
Latent Forests to Model Genetical Data for the Purpose of Multilocus Genome-wide Association Studies. Which clustering should be chosen? Duc-Thanh Phan,Philippe Leray,Christine Sinoquet Communication in Computer and Information Science, Springer, pp.17, 2015, BIOSTEC2015 Chapitre d'ouvrage hal-01204956v1
Probabilistic graphical models for next-generation genomics and genetics. Christine Sinoquet Oxford University Press. Probabilistic graphical models for genetics, genomics, and postgenomics, , 2014 Chapitre d'ouvrage hal-01166517v1
Essentials to understand probabilistic graphical models: a tutorial about inference and learning. Christine Sinoquet Probabilistic graphical models for genetics, genomics, and postgenomics, Oxford University Press, pp.30-82, 2014 Chapitre d'ouvrage hal-01168741v1
Modeling linkage disequilibrium and performing association studies through probabilistic graphical models: a visiting tour of recent advances. Christine Sinoquet,Raphaël Mourad Probabilistic graphical models for genetics, genomics, and postgenomics, Oxford University Press, pp.217-246, 2014 Chapitre d'ouvrage hal-01168755v1
Probabilistic graphical modeling in systems biology: a framework for integrative approaches Christine Sinoquet A. Prokop and B. Csukas (eds.). Systems Biology : integrative biology and simulation tools, Springer, pp.241-272, 2013, Systems Biology: integrative biology and simulation tools Chapitre d'ouvrage hal-01168778v1
Forests of latent tree models to decipher genotype-phenotype associations Christine Sinoquet,Raphaël Mourad,Philippe Leray J. Gariel, J. Schier, S. Van Huffel, E. Conchon, C. Correia, A. Fred and H. Gamboa. Biomedical Engineering Systems and Technologies, Communication in Computer and Information Science 357, Springer Berlin Heidelberg, pp.113-134, 2013, 978-3-642-38255-0. ⟨10.1007/978-3-642-38256-7_8⟩ Chapitre d'ouvrage hal-00915532v1

Autre publication scientifique (5)

Approches par optimisation combinatoire et par apprentissage statistique en bioinformatique. Applications pour la fouille et la modélisation de données complexes en génomique et en génétique Christine Sinoquet 2014 Autre publication scientifique hal-01168797v1
Waffect: a method to simulate case-control samples in genome-wide association studies Vittorio Perduca,Raphaël Mourad,Christine Sinoquet,Grégory Nuel 2011 Autre publication scientifique hal-00915533v1
Forests of hierarchical latent models for association genetics Raphaël Mourad,Christine Sinoquet,Philippe Leray 2010 Autre publication scientifique hal-00503013v1
GWAS-AS: assistance for a thorough evaluation of advanced algorithms dedicated to genome-wide association studies Thomas Morisseau,Raphaël Mourad,Christian Dina,Philippe Leray,Christine Sinoquet 2010 Autre publication scientifique hal-00915535v1
Bayesian multi-locus pattern selection and computation through reversible jump MCMC Christine Sinoquet 2010 Autre publication scientifique hal-00524885v1

Pré-publication, Document de travail (6)

Learning a forest of Hierarchical Bayesian Networks to model dependencies between genetic markers Raphaël Mourad,Christine Sinoquet,Philippe Leray 2010 Pré-publication, Document de travail hal-00444087v2
Qualitative modelling and analysis of gene regulatory networks: application to the adaptation of Escherichia coli bacterium to carbon availability Jamil Ahmad,Jérémie Bourdon,Damien Eveillard,Jonathan Fromentin,Olivier Rouxet al. 2009 Pré-publication, Document de travail hal-00359530v1
Improvement of missing genotype imputation through bi-directional parsing of large SNP panels Christine Sinoquet 2008 Pré-publication, Document de travail hal-00300596v3
Genome-comparative computational approach for investigating prokaryotic ORF expression potentialities, in relation with potentially high transcription Christine Sinoquet,Sylvain Demey,Frédérique Braun 2007 Pré-publication, Document de travail hal-00163675v1
A large-scale computational analysis for significance assessment of frequencies relative to potentially strong sigma 70 promoters - comparison between 32 bacterial genomes Christine Sinoquet,Sylvain Demey,Frédérique Braun 2007 Pré-publication, Document de travail hal-00153303v3
Gapped consensus motif discovery: evaluation of a new algorithm based on local multiple alignments and a sampling strategy Christine Sinoquet 2006 Pré-publication, Document de travail hal-00023162v1

Rapport (2)

Performance analysis of methods to infer missing genotypes Christine Sinoquet [Research Report] 2008 Rapport (rapport de recherche) inria-00326741v2
Analyse syntaxique non déterministe utilisant un modèle de n-grams Christine Sinoquet,Jacques Nicolas [Rapport de recherche] RR-3262, INRIA. 1997 Rapport (rapport de recherche) inria-00073427v1