Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
974726 | Physica A: Statistical Mechanics and its Applications | 2009 | 9 Pages |
Abstract
Here we address, on a data analysis perspective, the discrimination between local and global scale regulations, this goal was achieved by means of the examination of two biological systems: innate immune response in macrophages and oscillating growth dynamics in yeast. Our aim was to reconcile the 'hard-wired' local view of gene regulation with a global continuous and scalable one borrowed from statistical physics. This reconciliation is based on the network paradigm in which the local 'hard-wired' activities correspond to the activation of specific crucial nodes in the regulation network, while the scalable continuous responses can be equated to the collective oscillations of the network after a perturbation.
Keywords
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Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Masa Tsuchiya, Kumar Selvarajoo, Vincent Piras, Masaru Tomita, Alessandro Giuliani,