Computational genetic regulatory networks : evolvable, self-organizing systems
Genetic Regulatory Networks (GRNs) in biological organisms are primary engines for cells to enact their engagements with environments, via incessant, continually active coupling. In differentiated multicellular organisms, tremendous complexity has arisen in the course of evolution of life on earth....
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Serier: | Studies in Computational Intelligence
428 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, Texte imprimé, 9783642302954 • Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, Texte imprimé, 9783642302978 • Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, Texte imprimé, 9783642448058 • Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, Texte imprimé, 9783642302954 |