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Claude Pasquier
Chargé de recherche au CNRS
80%
Libre accès
10
Documents
Affiliations actuelles
- 13009
Identifiants chercheurs
- claudepasquier
- Arxiv : pasquier_c_1
- ResearcherId : C-6163-2008
- 0000-0001-7498-395X
- Google Scholar : https://scholar.google.fr/citations?user=YxoGQlYAAAAJ
- IdRef : 057733023
- ResearcherId : http://www.researcherid.com/rid/C-6163-2008
Site web
- https://www.i3s.unice.fr/~cpasquie
Présentation
Claude Pasquier is researcher at French National Center for Scientific Research (CNRS).
He received a Ph.D. degree in Computer Science from the University of Nice - Sophia Antipolis (now Université Côte d’Azur), France, in 1994. During his thesis, he explored the use of software engineering paradigms in the field of structured document manipulation. He defined both a frame-based language for representing document models, and a system of context-aware document generation and configuration (cf. Prototype-based programming.
Subsequently, he was a postdoctoral researcher at the Biophysics and Bioinformatics Laboratory of the University of Athens, Greece, where he conducted research on protein structure prediction.
He held positions at the National Institute for Research in Digital Science and Technology (INRIA) and with Schlumberger, Smart Cards & Terminals division (now Gemalto) where he worked on generative programming.
Since 2002 when he joined CNRS, he successively worked at Villefranche Oceanographic Laboratory (LOV), the Institute of Biology Valrose (iBV) and New Caledonia Institute of Exact and Applied Sciences (ISEA) where he addressed topics as diverse as semantic data integration, omics data mining and attributed graph mining.
Currently at I3S laboratory, he is conducting research focused on complex network mining that combines computer science and systems biology.
Publications
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Mining association rule bases from integrated genomic data and annotations (extended version)Lecture Notes in Bioinformatics, LNCS 5488, 2009, pp.
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hal-00361770v1
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Mining gene expression data using domain knowledgeInternational Journal of Software and Informatics (IJSI), 2008, 2 (2), pp.215-231
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hal-00361427v1
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GenMiner: mining non-redundant association rules from integrated gene expression data and annotationsBioinformatics, 2008, 24 (22), pp.2643-4. ⟨10.1093/bioinformatics/btn490⟩
Article dans une revue
hal-00361418v1
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Co-expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray ExperimentsJournal of Integrative Bioinformatics, 2006, 3 (12), pp.1-12. ⟨10.1515/jib-2006-37⟩
Article dans une revue
hal-00172501v1
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The Pervasiveness of Machine Learning in Omics ScienceECML/PKDD 2014 - International Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Tutorial T3, Sep 2014, Nancy, France
Communication dans un congrès
hal-01330594v1
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Mining association rule bases from integrated genomic data and annotationsSth International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB'09), Oct 2008, Vietri sul Mare, Salerno, Italy. pp.78-90, ⟨10.1007/978-3-642-02504-4_7⟩
Communication dans un congrès
hal-01154860v1
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GenMiner: mining informative association rules from genomic dataIEEE International Conference on Bioinformatics and Biomedicine (BIBM'07), Nov 2007, Fremont, United States. ⟨10.1109/BIBM.2007.49⟩
Communication dans un congrès
hal-01154856v1
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Interpreting microarray experiments via co-expressed gene groups analysisDS'2006 international conference on Discovery Science, Oct 2006, Barcelona, France. pp.316-320, ⟨10.1007/11893318_34⟩
Communication dans un congrès
hal-00362761v1
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Analyse des groupes de gènes co-exprimés (AGGC) : un outil automatique pour l’interpretation des expériences de biopuces13ème Rencontres de la Société Francophone de Classification (SFC’06), Sep 2006, Metz, France
Communication dans un congrès
hal-01151505v1
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Exploratory analysis of cancer SAGE data9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Discovery Challenge, Oct 2005, Porto, Portugal
Communication dans un congrès
hal-01154853v1
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