| Feature selection methods for early predictive biomarker discovery using untargeted metabolomic data D Grissa, M Pétéra, M Brandolini, A Napoli, B Comte, E Pujos-Guillot Frontiers in molecular biosciences 3, 30, 2016 | 100 | 2016 |
| Systems metabolomics for prediction of metabolic syndrome E Pujos-Guillot, M Brandolini, M Pétéra, D Grissa, C Joly, B Lyan, ... Journal of proteome research 16 (6), 2262-2272, 2017 | 40 | 2017 |
| Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration D Grissa, A Junge, TI Oprea, LJ Jensen Database 2022, baac019, 2022 | 36 | 2022 |
| Boolean factors as a means of clustering of interestingness measures of association rules R Belohlavek, D Grissa, S Guillaume, E Mephu Nguifo, J Outrata Annals of Mathematics and Artificial Intelligence 70, 151-184, 2014 | 23 | 2014 |
| A hybrid and exploratory approach to knowledge discovery in metabolomic data D Grissa, B Comte, M Pétéra, E Pujos-Guillot, A Napoli Discrete Applied Mathematics 273, 103-116, 2020 | 15 | 2020 |
| Alcoholic liver disease: A registry view on comorbidities and disease prediction D Grissa, D Nytoft Rasmussen, A Krag, S Brunak, L Juhl Jensen PLoS Computational Biology 16 (9), e1008244, 2020 | 14 | 2020 |
| Categorization of interestingness measures for knowledge extraction S Guillaume, D Grissa, EM Nguifo arXiv preprint arXiv:1206.6741, 2012 | 12 | 2012 |
| TIGA: target illumination GWAS analytics JJ Yang, D Grissa, CG Lambert, CG Bologa, SL Mathias, A Waller, ... Bioinformatics 37 (21), 3865-3873, 2021 | 10 | 2021 |
| Etude comportementale des mesures d'intérêt d'extraction de connaissances D Grissa Université Blaise Pascal-Clermont-Ferrand II, 2013 | 10 | 2013 |
| Propriétés des mesures d’intérêt pour l’extraction des règles S Guillaume, D Grissa, EM Nguifo Qdc2010, qualité des données et des connaissances, 2010 | 9 | 2010 |
| A hybrid knowledge discovery approach for mining predictive biomarkers in metabolomic data D Grissa, B Comte, E Pujos-Guillot, A Napoli Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 6 | 2016 |
| Combining clustering techniques and formal concept analysis to characterize interestingness measures D Grissa, S Guillaume, EM Nguifo arXiv preprint arXiv:1008.3629, 2010 | 6 | 2010 |
| A hybrid data mining approach for the identification of biomarkers in metabolomic data D Grissa, B Comte, E Pujos-Guillot, A Napoli Concept Lattices and Their Applications 1624, 2016 | 3 | 2016 |
| Combining Clustering techniques and FCA to characterize Interestingness Measures D Grissa, S Guillaume, EM Nguifo Research Report LIMOS/RR-12-05, 2012 | 2 | 2012 |
| Catégorisation des mesures d'intérêt pour l'extraction des connaissances. S Guillaume, D Grissa, EM Nguifo EGC, 551-562, 2011 | 2 | 2011 |
| Discovering and evaluating organizational knowledge from textual data: Application to crisis management D Grissa, E Andonoff, C Hanachi Data & Knowledge Engineering 148, 102237, 2023 | 1 | 2023 |
| A Hybrid Approach for Mining Metabolomic Data D Grissa, B Comte, E Pujos-Guillot, A Napoli FCA4AI-5th Workshop" What can FCA do for Artificial Intelligence?" 1703, 2016 | 1 | 2016 |
| An integrated approach for the identification of predictive markers of type 2 diabetes E Pujos-Guillot, M Brandolini-Bunlon, D Grissa, Y Liu, M Pééra, C Joly, ... 12. annual conference of the Metabolomics Society, 2016 | | 2016 |
| Metabolomics as part of an integrated approach for the identification of predictive markers of type 2 diabetes E Pujos-Guillot, M Brandolini-Bunlon, D Grissa, Y Liu, M Pétéra, C Joly, ... 4. Workshop on Holistic Analytical Methods for Systems Biology Studies, np, 2016 | | 2016 |
| Combinaison de méthodes numériques et symboliques pour l'analyse de données métabolomiques D Grissa, B Comte, E Pujos-Guillot, A Napoli Extraction et Gestion des Connaissances, 555--556, 2016 | | 2016 |
Amedeo NapoliSenior researcher in computer science, LORIA (CNRS - Inria - U. Lorraine), NancyAdresse e-mail validée de loria.fr
