Biological network growth in complex environments: A computational framework.

ABSTRACT: Spatial biological networks are abundant on all scales of life, from single cells to ecosystems, and perform various important functions including signal transmission and nutrient transport. These biological functions depend on the architecture of the network, which emerges as the result of a dynamic, feedback-driven developmental process. While cell behavior during growth can be genetically encoded, the resulting network structure depends on spatial constraints and tissue architecture. Since network growth is often difficult to observe experimentally, computer simulations can help to understand how local cell behavior determines the resulting network architecture. We present here a computational framework based on directional statistics to model network formation in space and time under a

SUBMITTER: Paul TJ 

PROVIDER: S-EPMC7728203 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature