The Fidelity of Dynamic Signaling by Noisy Biomolecular Networks, PLoS Computational Biology, vol.102, issue.4, p.1002965, 2013. ,
DOI : 10.1371/journal.pcbi.1002965.s001
Reconstruction of promoter activity statistics from reporter protein population snapshot data, 2015 54th IEEE Conference on Decision and Control (CDC), pp.1471-1476, 2015. ,
DOI : 10.1109/CDC.2015.7402418
URL : https://hal.archives-ouvertes.fr/hal-01218010
Hybrid Systems Biology: Fourth International Workshop Revised Selected Papers, chap. Reconstructing Statistics of Promoter Switching from Reporter Protein Population Snapshot Data, pp.3-19, 2015. ,
DOI : 10.1007/978-3-319-47151-8
Nonparametric input estimation in physiological systems: Problems, methods, and case studies, Automatica, vol.33, issue.5, pp.851-870, 1997. ,
DOI : 10.1016/S0005-1098(96)00254-3
Linking Stochastic Dynamics to Population Distribution: An Analytical Framework of Gene Expression, Physical Review Letters, vol.97, issue.16, p.168302, 2006. ,
DOI : 10.1103/PhysRevLett.97.168302
Identification of models of heterogeneous cell populations from population snapshot data, BMC Bioinformatics, vol.12, issue.1, p.125, 2011. ,
DOI : 10.1038/sj.cdd.4401189
Method of conditional moments (MCM) for the Chemical Master Equation, Journal of Mathematical Biology, vol.109, issue.21, pp.687-735, 2014. ,
DOI : 10.1007/s00285-013-0711-5
Modelling and analysis of stochastic hybrid systems, IEE Proceedings - Control Theory and Applications, vol.153, issue.5, pp.520-535, 2006. ,
DOI : 10.1049/ip-cta:20050088
Experimental and computational validation of models of fluorescent and luminescent reporter genes in bacteria, BMC Systems Biology, vol.4, issue.1, p.55, 2010. ,
DOI : 10.1186/1752-0509-4-55
URL : https://hal.archives-ouvertes.fr/hal-00784438
Stochasticity in gene expression: from theories to phenotypes, Nature Reviews Genetics, vol.8706, issue.6, pp.451-464, 2005. ,
DOI : 10.1073/pnas.0400673101
The Spectral Analysis of Time Series, Probability and Mathematical Statistics, 1995. ,
Linear stochastic systems ? A geometric approach to modeling, estimation and identification, 2015. ,
Listening to the noise: random fluctuations reveal gene network parameters, Molecular Systems Biology, vol.9, issue.318, 2009. ,
DOI : 10.1006/plas.2000.1477
URL : http://doi.org/10.1038/msb.2009.75
Systematic Identification of Signal-Activated Stochastic Gene Regulation, Science, vol.339, issue.6119, pp.584-587, 2013. ,
DOI : 10.1126/science.1231456
Probability, random variables, and stochastic processes. McGraw-Hill series in electrical engineering, 1991. ,
Models of stochastic gene expression, Physics of Life Reviews, vol.2, issue.2, pp.157-175, 2005. ,
DOI : 10.1016/j.plrev.2005.03.003
StochKit2: software for discrete stochastic simulation of biochemical systems with events, Bioinformatics, vol.27, issue.17, pp.2457-2458, 2011. ,
DOI : 10.1093/bioinformatics/btr401
Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data, PLOS Computational Biology, vol.123, issue.1, p.1004028, 2015. ,
DOI : 10.1371/journal.pcbi.1004028.s010
URL : https://hal.archives-ouvertes.fr/hal-01097632
Moment-based inference predicts bimodality in transient gene expression, Proceedings of the National Academy of Sciences, vol.109, issue.21, pp.8340-8345, 2012. ,
DOI : 10.1073/pnas.1200161109
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361437
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings, Nature Methods, vol.92, issue.2, pp.197-202, 2014. ,
DOI : 10.1109/78.978383
Robust reconstruction of gene expression profiles from reporter gene data using linear inversion, Bioinformatics, vol.31, issue.12, pp.71-79, 2015. ,
DOI : 10.1093/bioinformatics/btv246
URL : https://hal.archives-ouvertes.fr/hal-01217800