Team: DISCO (DIgital Systems and COmputational cancer)
NEWS
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Under Construction
> RESEARCHERS
> INGENEERS/TECHNICIANS
> STUDENTS
RESEARCHERS
Dr Wajdi DHIFLI, Associate Professor, University of Lille | |
Pr Mohamed ELATI, University of Lille | |
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INGENEERS/TECHNICIANS
Aurélien DISPOT, Engineer, Lille University aurelien.dispot(@)gmail.com | |
Julia PUIG, Engineer, University of Lille julia.puig(@)univ-lille.fr | |
STUDENTS
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Geoffrey PAWLAK (Y3, PhD student) geoffrey.pawlak.etu(@)univ-lille.fr | |
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Our project is based on xxxxxxxxx.
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> LABORATORY ORIGINAL ARTICLES
> GENERAL REVIEW
> CLINICAL ARTICLES
> ORIGINAL ARTICLES AND GENERAL REVIEWS FROM COLLABORATION
Publications 2020-2015
LABORATORY ORIGINAL ARTICLES
2023
2022
2021
Champion M, Chiquet J, Neuvial P, Elati M, Radvanyi F, Birmelé E. Identification of deregulation mechanisms specific to cancer subtypes. J Bioinform Comput Biol. 2021 Feb;19(1):2140003. doi:10.1142/S0219720021400035. PMID: 33653235
2020
El Ati, Z., Machfar, H., Boussafa, H., Ati, N., Sioud, O. B. O., Zantour, B., … & Elati, M. (2020). Metabolic syndrome, malnutrition, and its associations with cardiovascular and all-cause mortality in hemodialysis patients: Follow-up for three years. Saudi Journal of Kidney Diseases and Transplantation, 31(1), 129.
Dhifli, W., Karabadji, N. E. I., & Elati, M. (2020). Evolutionary mining of skyline clusters of attributed graph data. Information Sciences, 509, 501-514.
2019
Dhifli, J. Puig, M. Elati. Latent network-based representations for large-scale gene expression data analysis. BMC Bioinformatics, 2019 Feb 4;19(Suppl 13):466. doi: 10.1186/s12859-018-2481-y.
2018
Lopez-Rincon, A. Tonda, M. Elati, O. Schwander, B. Piwowarski, P. Gallinari Evolutionary Optimization of Convolutional Neural Networks for Cancer miRNA Biomarkers Classification. Applied Soft Computing : vol. 65, pp. 91-100, ( Elsevier), 2018.
E.I. Karabadji, S. Beldjoudi, H. Seridi, S. Aridhi, W. Dhifli. Improving Memory Based User Collaborative Filtering with Evolutionary Multi-Objective Optimization. Expert Systems With Applications 98: 153–165, 2018.
2017
Trébulle, J-M Nicaud, Ch. Leplat, M. Elati*, Inference and interrogation of a coregulatory network in the context of lipid accumulation in Yarrowia lipolytica. Nature npj Systems Biology and Applications (2017): Aug 11;3:21. eCollection 2017.
Trejo Banos, P. Tebulle, M. Elati* Integrating transcriptional activity in genome-scale models of metabolism, BMC Systems Biology (2017): 11(Suppl 7):134.
Dhifli, S. Aridhi, E. M. Nguifo. MR-SimLab: Scalable Subgraph Selection with Label Similarity for Big Data. Information Systems (Elsevier) 69: 155–163, 2017.
Dhifli, N. O. Da Costa, M. Elati* An Evolutionary Schema for Mining Skyline Clusters of Attributed Graph Data, IEEE Congress on Evolutionary Computation (2017): pp. 2102-2109
K. Saha, A. Katebi, W. Dhifli, M. Al Hassan. Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019 Sep-Oct;16(5):1537-1549. doi: 10.1109/TCBB.2017.2756879.
2016
Bouyioukos, F. Bucchini, M. Elati, F. Képès. GREAT: a web portal for Genome Regulatory Architecture Tools. Nucleic Acids Research, gkw384, 2016.
Bouyioukos, M. Elati. Analysis tools for the interplay between genome layout and regulation. BMC Bioinformatics, 17 (5), 407, 2016.
Dhifli, A. B. Diallo. ProtNN: Fast and Accurate Protein 3D-Structure Classification in Structural and Topological Space. BMC BioData Mining 9 (1): 1-17, 2016.
Njah, S. Jamoussi, W. Mahdi and M. Elati. A Bayesian approach to construct context-specific gene ontology. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, pp1-6, 2016.
2015
Nicolle, F. Radvanyi, and M. Elati, CoRegNet: reconstruction and integrated analysis of co-regulatory networks, Bioinformatics, btv305, 2015.
ORIGINAL ARTICLES AND GENERAL REVIEWS FROM COLLABORATIONS
2020
Coutant, A., Roper, K., Trejo-Banos, D., Bouthinon, D., Carpenter, M., Grzebyta, Santini, G., Soldano, H., Elati, M. , Ramon, J., Rouveirol, C., Saldatova, L., Ross, K. (2019). Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast. Proceedings of the National Academy of Sciences (PNAS), 116(36), 18142-18147.
Champion, M., Chiquet, J., Neuvial, P., Elati, M., Radvanyi, F., & Birmelé, E. (2020). Identification of Deregulated Transcription Factors Involved in Specific Bladder Cancer Subtypes. Journal of Bioinformatics and Computational Biology.
Zerrouk, N., Miagoux, Q., Dispot, A., Elati, M., & Niarakis, A. (2020). Identification of putative master regulators in rheumatoid arthritis synovial fibroblasts using gene expression data and network inference. Scientific reports, 10(1), 1-13.
On-going theses
Defended theses
2022
- Meng Xiangyu (Dir. Thèse : Mohamed Elati)
2020
2019
- TREBULLE Pauline, « Modélisation multi-échelles de réseaux biologiques pour l’ingénierie métabolique d’un châssis biotechnologique », Directeurs : Mohamed Elati/Jean-Marc Nicaud
2015
- NICOLLE Remy, « Regulatory networks driving bladder cancer », Directeurs : Mohamed Elati/François Radvanyi