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Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
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Related Experiment Video

Updated: Mar 23, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Dynamic network modelling to understand flowering transition and floral patterning.

J Davila-Velderrain1, J C Martinez-Garcia2, E R Alvarez-Buylla3

  • 1Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, Cd Universitaria, México, DF 04510, México.

Journal of Experimental Botany
|March 31, 2016
PubMed
Summary
This summary is machine-generated.

Plant development exhibits robust yet plastic responses, driven by gene networks, environment, and mechanics. Mathematical models help predict cell-fate changes during flower development in Arabidopsis thaliana.

Area of Science:

  • Plant developmental biology
  • Computational systems biology
  • Mathematical modeling
Keywords:
Epigenetic landscapeflower developmentgene regulatory networksplant developmentsystems biology.

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