18-18 Mar 2024 Grenoble (France)

Program

Monday, March 18, 2024

Time Event (+)
09:30 - 10:00 Welcoming participants - In the main hall of the building.  
10:00 - 10:10 Introductory remarks (Auditorium IMAG building) - Organizing committee & BioSyL  
10:10 - 11:00 Data-driven mathematical models for simulating the tumour microenvironment (Auditorium IMAG building) - Keynote Speaker : Vera PANCALDI  
11:00 - 11:30 Coffee break / Poster discussion  
11:30 - 12:15 Cancer & mathematical modeling (Auditorium IMAG building) - Chairs : Benjamin Audit & Magali Richard (+)  
11:30 - 11:45 › Modeling relaxation experiments with a mechanistic model of gene expression - Maxime Estavoyer, Institut Camille Jordan  
11:45 - 12:00 › Application of Simuscale to multiscale modelling of cell population dynamics and cancer - Thi Nhu Thao Nguyen, Laboratoire de biologie et modélisation de la cellule, Inria, Université Paris Cité  
12:00 - 12:15 › Ensemble of monotonic classifiers for predicting platinum-free interval in high-grade serous ovarian cancer. - Oceane Fourquet, Institut Pasteur [Paris]  
12:15 - 12:45 Cancer & systems biology (Auditorium IMAG building) - Benjamin Audit & Magali Richard (+)  
12:15 - 12:30 › Analysis of microRNA and mRNA co-sequencing data at the single-cell level - Louise Velut, BioSanté U1292, IRIG  
12:30 - 12:45 › Celltronix: shedding light on gene regulatory circuits. - Gabriel JIMENEZ DOMINGUEZ, Laboratoire de biologie et modélisation de la cellule  
12:55 - 14:15 Lunch / Poster discussion  
14:15 - 15:45 Cancer & omic data (Auditorium IMAG building) - Chairs : Sophie Abby & Laurent Guyon (+)  
14:15 - 14:30 › Ectopic gene activation-driven survival prediction in cancer - Ekaterina Bourova-Flin, Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble)  
14:30 - 14:45 › Peritumoral tissue is a promising source of prognostic biomarkers - Dzenis KOCA, BioSanté U1292, IRIG  
14:45 - 15:00 › Are explanations derived from machine learning models biologically informative? Insights from cancer classification studies. - Myriam Bontonou, Laboratoire de Biologie et Modélisation de la Cellule, Laboratoire de Physique  
15:00 - 15:15 › EMT-driven plasticity prospectively increases cell-to-cell variability to promote therapeutic adaptation in breast cancer - Pierre Martinez, CRCL  
15:15 - 15:30 › Bio-computing approaches to identify transcriptional cofactors of ERRα activities involved in breast cancer progression - Jingru SHI, Centre de Recherche en Cancérologie de Lyon  
15:30 - 15:45 › A robust and reproducible workflow to benchmark cell type deconvolution of omic data - Elise Amblard, Modèles et Algorithmes pour la Génomique  
15:45 - 16:15 Coffee break / Poster discussion  
16:15 - 17:05 Understanding cancer biology through multi-omics genotype-phenotype tumour maps - Keynote Speaker : Matthieu FOLL  
17:05 - 17:15 Concluding remarks (Auditorium IMAG building) - Organizing committee  
  
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