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Proceedings of the National Academy of Sciences of the United States of America|May 10, 2011
Sensitivity, robustness, and identifiability in stochastic chemical kinetics modelsMichał Komorowski, Maria J Costa, David A Rand, et al.Annual Review of Biomedical Data Science|May 1, 2025
Mapping, Modeling, and Reprogramming Cell-Fate Decision-Making SystemsLucy Ham, Taylor E Woodward, Megan A Coomer, et al.Journal of the Royal Society, Interface|September 4, 2015
Information processing by simple molecular motifs and susceptibility to noiseSiobhan S Mc Mahon, Oleg Lenive, Sarah Filippi, et al.Nature Communications|November 4, 2018
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signalingTomasz Jetka, Karol Nienałtowski, Sarah Filippi, et al.Proceedings of the National Academy of Sciences of the United States of America|September 13, 2012
Parameter-free model discrimination criterion based on steady-state coplanarityHeather A Harrington, Kenneth L Ho, Thomas Thorne, et al.Royal Society Open Science|July 30, 2024
Approximate Bayesian computation for inferring Waddington landscapes from single-cell dataYujing Liu, Stephen Y Zhang, Istvan T Kleijn, et al.BMC Systems Biology|September 24, 2010
Statistical inference of the time-varying structure of gene-regulation networksSophie Lèbre, Jennifer Becq, Frédéric Devaux, et al.BMC Systems Biology|May 17, 2011
From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coliTina Toni, Goran Jovanovic, Maxime Huvet, et al.Journal of Mathematical Biology|September 24, 2025
Towards a mathematical framework for modelling cell fate dynamicsSean T Vittadello, Léo Diaz, Yujing Liu, et al.Molecular Biosystems|May 5, 2012
Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selectionTina Toni, Yu-ichi Ozaki, Paul Kirk, et al.Pageof 181