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		A model of apoptosis receptor reactions to study cell fate decision Luis Gomes-Pereira , Madalena Chaves , Jérémie Roux MED 2020 - 28th Mediterranean Conference on Control and Automation, Sep 2020, Saint Raphaël, France. pp.887-892, ⟨10.1109/MED48518.2020.9183229⟩ Communication dans un congrès hal-03021507v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Modeling isogenic cancer cell response upon TRAIL treatment in multi-omics studies Marielle Péré , Asma Chalabi , Jérémie Roux Multiple facets of RNA in development and disease conference, Signalife Labex community, Mar 2022, Nice, France Communication dans un congrès hal-03868569v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Source-Target Proximity Analysis in Protein Networks Using Random Walks with Restart; Applications to Cancer Drug Resistance Prediction from Single-Cell Data Frédéric Cazals , Jérémie Roux , Alain Jean-Marie , Dorian Mazauric , Guilherme Sales Santa Cruz SophI.A 2019 - Springboard for Artificial Intelligence, Université Côte d'Azur, Nov 2019, Sophia-Antipolis, France Communication dans un congrès hal-02432552v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses Augusto Sales-De-Queiroz , Guilherme Sales Santa Cruz , Alain Jean-Marie , Dorian Mazauric , Jérémie Roux , et al. 2021 Pré-publication, Document de travail hal-03438430v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Two-level modeling approach to identify the regulatory dynamics capturing drug response heterogeneity in single-cells Madalena Chaves , Luis Gomes-Pereira , Jérémie Roux Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-99943-0⟩ Article dans une revue hal-03439255v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Coupling live-cell imaging and in situ isolation of the same single cell to profile the transient states of predicted drug-tolerant cells Benjamin Bian , Agnès Paquet , Marie-Jeanne Arguel , Mickael Meyer , Ludovic Peyre , et al. STAR Protocols, 2022, 3 (3), pp.101600. ⟨10.1016/j.xpro.2022.101600⟩ Article dans une revue hal-03860511v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		TRAIL-induced apoptosis signaling modeling identifies dynamic signs of efficient cell death initiation, enabling an early prediction of the cell response Marielle Péré , Madalena Chaves , Jérémie Roux CMSB 2021 - 19th International Conference on Computational Methods in Systems Biology, Sep 2021, Bordeaux, France Communication dans un congrès hal-03522480v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Autophagy : Moving Benchside Promises to Patient Bedsides Amine Belaïd , Papa Diogop Ndiaye , Harilaos Filippakis , Jérémie Roux , Eric Röttinger , et al. Current Cancer Drug Targets, 2015, 15 (8), pp.684-702. ⟨10.2174/156800961508151001102452⟩ Article dans une revue hal-02411388v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Modelling cell response to cancer drug treatment identifies dynamic features of efficient cell death initiation, enabling prediction and control of therapeutic response heterogeneity Marielle Péré , Madalena Chaves , Jérémie Roux inSiDE seminars (Signaling Dynamics and Encoding,)Connecting scientists interested in single-cell signaling dynamics, Jun 2022, Online, France Poster de conférence hal-03868579v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Modeling cell death dynamics at the receptor level Luis Pereira , Mickael Meyer , Paul Hofman , Jean-Luc Gouzé , Madalena Chaves , et al. CompSysBio, Advanced Lecture Course on Computational Systems Biology, Mar 2017, Aussois, France Communication dans un congrès hal-01568506v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dynamic analysis framework to detect cell division and cell death in live-cell imaging, using signal processing and machine learning Asma Chalabi , Eric Debreuve , Jérémie Roux ICSB 2022 - The 21st International Conference on Systems Biology, Oct 2022, Berlin (DE), Germany Communication dans un congrès hal-03866978v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision Marielle Péré , Diego A. Oyarzun , Jérémie Roux , Madalena Chaves Foundations of Systems Biology in Engineering (FOSBE), Aug 2022, Cambridge, Massachusetts, United States Communication dans un congrès hal-03868311v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Modelling cell-death drug response heterogeneity at the receptor layer Luis Pereira , Paul Hofman , Jean-Luc Gouzé , Madalena Chaves , Jérémie Roux 11th European Conference on Mathematical and Theoretical Biology (ECMTB 2018), Jul 2018, Lisbon, Portugal Communication dans un congrès hal-01936435v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		TRAIL receptor-induced features of epithelial-to-mesenchymal transition increase tumour phenotypic heterogeneity: potential cell survival mechanisms Ludovic Peyre , Mickael Meyer , Paul Hofman , Jérémie Roux British Journal of Cancer, 2020, ⟨10.1038/s41416-020-01177-w⟩ Article dans une revue hal-03035316v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		KRAS and NRAS Translation Is Increased upon MEK Inhibitors-Induced Processing Bodies Dissolution Olivia Vidal-Cruchez , Victoria Nicolini , Tifenn Rete , Karine Jacquet , Roger Rezzonico , et al. Cancers, 2023, 15 (12), pp.3078. ⟨10.3390/cancers15123078⟩ Article dans une revue hal-04266131v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Integrating machine learning methods to single-cell experimental workflow increases throughput and accuracy for target identification in immuno-oncology Marielle Péré , Diego Oyarzun , Asma Chalabi , Madalena Chaves , Jérémie Roux Sophia Summit AI, Nov 2022, Sophia Antipolis, France Poster de conférence hal-03868554v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses Augusto Sales de Queiroz , Guilherme Sales Santa Cruz , Alain Jean-Marie , Dorian Mazauric , Jérémie Roux , et al. PLoS ONE, 2022, 17 (11), pp.e0268956. ⟨10.1371/journal.pone.0268956⟩ Article dans une revue hal-04266133v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		L’hétérogénéité intraclonale des tumeurs et son impact sur la médecine de précision Jérémie Roux , Jean-Luc Gouzé , Paul Hofman Médecine/Sciences, 2015, 31 (1), pp.28-31. ⟨10.1051/medsci/20153101009⟩ Article dans une revue hal-01259249v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Core Models of Receptor Reactions to Evaluate Basic Pathway Designs Enabling Heterogeneous Commitments to Apoptosis Marielle Péré , Madalena Chaves , Jérémie Roux CMSB 2020 - 18th International Conference on Computational Methods in Systems Biology, Sep 2020, Konstanz, Germany. pp.298-320, ⟨10.1007/978-3-030-60327-4_16⟩ Communication dans un congrès hal-03021538v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Profiling the Non-genetic Origins of Cancer Drug Resistance with a Single-Cell Functional Genomics Approach Using Predictive Cell Dynamics Mickael Meyer , Agnès Paquet , Marie-Jeanne Arguel , Ludovic Peyre , Luis Gomes-Pereira , et al. Cell Systems, 2020, 11 (4), pp.367-374. ⟨10.1016/j.cels.2020.08.019⟩ Article dans une revue hal-03001650v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

A model of apoptosis receptor reactions to study cell fate decision

Modeling isogenic cancer cell response upon TRAIL treatment in multi-omics studies

Source-Target Proximity Analysis in Protein Networks Using Random Walks with Restart; Applications to Cancer Drug Resistance Prediction from Single-Cell Data

Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses

Two-level modeling approach to identify the regulatory dynamics capturing drug response heterogeneity in single-cells

Coupling live-cell imaging and in situ isolation of the same single cell to profile the transient states of predicted drug-tolerant cells

TRAIL-induced apoptosis signaling modeling identifies dynamic signs of efficient cell death initiation, enabling an early prediction of the cell response

Autophagy : Moving Benchside Promises to Patient Bedsides

Modelling cell response to cancer drug treatment identifies dynamic features of efficient cell death initiation, enabling prediction and control of therapeutic response heterogeneity

Modeling cell death dynamics at the receptor level

Dynamic analysis framework to detect cell division and cell death in live-cell imaging, using signal processing and machine learning

Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision

Modelling cell-death drug response heterogeneity at the receptor layer

TRAIL receptor-induced features of epithelial-to-mesenchymal transition increase tumour phenotypic heterogeneity: potential cell survival mechanisms

KRAS and NRAS Translation Is Increased upon MEK Inhibitors-Induced Processing Bodies Dissolution

Integrating machine learning methods to single-cell experimental workflow increases throughput and accuracy for target identification in immuno-oncology

Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses

L’hétérogénéité intraclonale des tumeurs et son impact sur la médecine de précision

Core Models of Receptor Reactions to Evaluate Basic Pathway Designs Enabling Heterogeneous Commitments to Apoptosis

Profiling the Non-genetic Origins of Cancer Drug Resistance with a Single-Cell Functional Genomics Approach Using Predictive Cell Dynamics