𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Patterning by genetic networks

✍ Scribed by S. Genieys; S. Vakulenko


Book ID
102514029
Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
150 KB
Volume
29
Category
Article
ISSN
0170-4214

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

We consider here the morphogenesis (pattern formation) problem for some genetic network models. First, we show that any given spatio‐temporal pattern can be generated by a genetic network involving a sufficiently large number of genes. Moreover, patterning process can be performed by an effective algorithm. We also show that Turing's or Meinhardt's type reaction–diffusion models can be approximated by genetic networks.

These results exploit the fundamental fact that the genes form functional units and are organized in blocks. Due to this modular organization, the genes always are capable to construct any new patterns and even any time sequences of new patterns from old patterns. Computer simulations illustrate some analytical results. Copyright Β© 2005 John Wiley & Sons, Ltd.


πŸ“œ SIMILAR VOLUMES


Pattern recognition with neural networks
✍ Sung-Bae Cho πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 599 KB

Soft computing techniques have been recently exploited as a promising tool for achieving high performance in pattem recognition. This paper presents a hybrid method which combines neural network classifiers by genetic algorithm. Genetic algorithm gives us an effective vehicle to determine the optima

Microchannel Networks for Nanowire Patte
✍ Messer, Benjamin; Song, Jae Hee; Yang, Peidong πŸ“‚ Article πŸ“… 2000 πŸ› American Chemical Society 🌐 English βš– 109 KB
A genetic framework for floral patternin
✍ Weigel, Detlef; Parcy, FranΓ§ois; Nilsson, Ove; Busch, Maximilian A.; Lee, Ilha πŸ“‚ Article πŸ“… 1998 πŸ› Nature Publishing Group 🌐 English βš– 511 KB