Emmanuel Bresso
Orcid: 0000-0002-5650-3155Affiliations:
- University of Lorraine, Nancy, France
According to our database1,
Emmanuel Bresso
authored at least 12 papers
between 2010 and 2022.
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Bibliography
2022
Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project.
J. Biomed. Informatics, 2022
2021
Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining.
BMC Medical Informatics Decis. Mak., 2021
2020
CoRR, 2020
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study.
Proceedings of the First International Conference "Algebras, graphs and ordered sets", 2020
2017
Discovering associations between adverse drug events using pattern structures and ontologies.
J. Biomed. Semant., 2017
2016
GPCRs from fusarium graminearum detection, modeling and virtual screening - the search for new routes to control head blight disease.
BMC Bioinform., 2016
2013
Organisation et exploitation des connaissances sur les réseaux d'interactions biomoléculaires pour l'étude de l'étiologie des maladies génétiques et la caractérisation des effets secondaires de principes actifs. (Organization and exploitation of biological molecular networks for studying the etiology of genetic diseases and for characterizing drug side effects).
PhD thesis, 2013
Integrative relational Machine-Learning Approach for Understanding Drug Side-Effect Profiles.
BMC Bioinform., 2013
2012
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2012
Formal Concept Analysis for the Interpretation of Relational Learning Applied on 3D Protein-binding Sites.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012
2011
Use of Domain Knowledge for Dimension Reduction - Application to Mining of Drug Side Effects.
Proceedings of the KDIR 2011, 2011
2010
BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery.
Int. J. Metadata Semant. Ontologies, 2010