Modeling relaxation experiments with a mechanistic model of gene expression

Altogether our results strongly support the notion that cells should be seen and modeled as probabilistic dynamical systems.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-08-20
DOI
https://doi.org/10.1186/s12859-024-05816-4
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling relaxation experiments with a mechanistic model of gene expression

Sylvain Lefort, Véronique Maguer‐Satta, Thibault Voeltzel, Maxime Estavoyer et al.
BMC Bioinformatics
Gene Regulatory Network Analysis
article

Modeling relaxation experiments with a mechanistic model of gene expression

Sylvain Lefort, Véronique Maguer‐Satta, Thibault Voeltzel, Maxime Estavoyer, Olivier Gandrillon, Marion Dufeu, Grégoire Ranson, Thomas Lepoutre
article en

Abstract

Altogether our results strongly support the notion that cells should be seen and modeled as probabilistic dynamical systems.

BMC BioinformaticsVol. 25(1)
Université Claude Bernard Lyon 1 (FR), École Centrale de Lyon (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Inserm (FR), York University (CA), Institut Camille Jordan (FR), Centre Léon Bérard (FR), Centre de Recherche en Cancérologie de Lyon (FR), Institut National des Sciences Appliquées de Lyon (FR), Université Jean Monnet (FR)
Agence Nationale de la Recherche, Université de Lyon, Laboratoire d'Excellence Ecofect
Reduced inequalities
Openalex Percentile: Top 88%
Gene Regulatory Network Analysis
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Modeling relaxation experiments with a mechanistic model of gene expression — Sylvain Lefort, Véronique Maguer‐Satta, et al. · BMC Bioinformatics (2024) | TGRS Research Map | TGRS