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Selecting for positive responses to knock outs in boolean networks
- Source :
- Communications in Computer and Information Science ISBN: 9783030450151, WIVACE
- Publication Year :
- 2020
- Publisher :
- Springer, 2020.
-
Abstract
- Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have shown the possibility of achieving Boolean Networks (BN) with given characteristics by means of evolutionary techniques. In this work we show that it is possible to evolve BNs exhibiting more positive than negative reactions to knock-out stresses. It is also interesting to observe that in the observed runs (i) the evolutionary processes can guide the BNs toward different dynamic regimes, depending on their internal structure and that (ii) the BNs forced to evolve by maintaining a critical dynamical regime achieve better results than those that do not have this characteristic; this observation supports the idea that criticality may be beneficial to an evolving population of dynamical systems.
- Subjects :
- 0301 basic medicine
education.field_of_study
Work (thermodynamics)
Dynamical systems theory
Random Boolean networks
Computer science
Gene knock outs
Evolved systems
Population
Structure (category theory)
02 engineering and technology
03 medical and health sciences
030104 developmental biology
Criticality
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Statistical physics
education
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-45015-1
- ISBNs :
- 9783030450151
- Database :
- OpenAIRE
- Journal :
- Communications in Computer and Information Science ISBN: 9783030450151, WIVACE
- Accession number :
- edsair.doi.dedup.....1bc6d855c1095bdd99744b62786b48dc