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Ramon Grima

Showing results (91-100 of 98) with videos related to

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Development (Cambridge, England)|January 2, 2025
Licensing and niche competition in spermatogenesis: mathematical models suggest complementary regulation of tissue maintenanceRodrigo García-Tejera, Jing-Yi Tian, Marc Amoyel, et al.
Physical Biology|May 2, 2018
Insight into nuclear body formation of phytochromes through stochastic modelling and experimentRamon Grima, Sebastian Sonntag, Filippo Venezia, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2012
Spontaneous spatiotemporal waves of gene expression from biological clocks in the leafBénédicte Wenden, David L K Toner, Sarah K Hodge, et al.
Mathematical Biosciences|July 10, 2024
Efficient and scalable prediction of stochastic reaction-diffusion processes using graph neural networksZhixing Cao, Rui Chen, Libin Xu, et al.
Elife|October 17, 2022
Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributionsXiaoming Fu, Heta P Patel, Stefano Coppola, et al.
Nature Communications|May 12, 2021
Neural network aided approximation and parameter inference of non-Markovian models of gene expressionQingchao Jiang, Xiaoming Fu, Shifu Yan, et al.
Nature Communications|September 27, 2014
Arabidopsis cell expansion is controlled by a photothermal switchHenrik Johansson, Harriet J Jones, Julia Foreman, et al.
The Plant Cell|February 1, 2014
Mathematical models light up plant signalingYin Hoon Chew, Robert W Smith, Harriet J Jones, et al.
Pageof 10

Showing results (91-100 of 98) with videos related to

Sort By:
Pageof 10
You have reached the last page of results.This site can display upto 98 results.
Development (Cambridge, England)|January 2, 2025
Licensing and niche competition in spermatogenesis: mathematical models suggest complementary regulation of tissue maintenanceRodrigo García-Tejera, Jing-Yi Tian, Marc Amoyel, et al.
Physical Biology|May 2, 2018
Insight into nuclear body formation of phytochromes through stochastic modelling and experimentRamon Grima, Sebastian Sonntag, Filippo Venezia, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2012
Spontaneous spatiotemporal waves of gene expression from biological clocks in the leafBénédicte Wenden, David L K Toner, Sarah K Hodge, et al.
Mathematical Biosciences|July 10, 2024
Efficient and scalable prediction of stochastic reaction-diffusion processes using graph neural networksZhixing Cao, Rui Chen, Libin Xu, et al.
Elife|October 17, 2022
Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributionsXiaoming Fu, Heta P Patel, Stefano Coppola, et al.
Nature Communications|May 12, 2021
Neural network aided approximation and parameter inference of non-Markovian models of gene expressionQingchao Jiang, Xiaoming Fu, Shifu Yan, et al.
Nature Communications|September 27, 2014
Arabidopsis cell expansion is controlled by a photothermal switchHenrik Johansson, Harriet J Jones, Julia Foreman, et al.
The Plant Cell|February 1, 2014
Mathematical models light up plant signalingYin Hoon Chew, Robert W Smith, Harriet J Jones, et al.
Pageof 10