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Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration

Schramm, L, Jin, Y and Sendhoff, B (2012) Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration ARTIFICIAL LIFE, 18 (4). pp. 425-444.

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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Schramm, LUNSPECIFIEDUNSPECIFIED
Jin, YUNSPECIFIEDUNSPECIFIED
Sendhoff, BUNSPECIFIEDUNSPECIFIED
Date : 1 September 2012
Identification Number : 10.1162/artl_a_00075
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, THEORY & METHODS, Cellular growth, development, regeneration, stability, gene regulatory network, motifs, evolutionary strategy, REGULATORY NETWORKS, MORPHOGEN GRADIENTS, IN-SILICO, MODEL, ORGANISM, INTERFACE, EMERGENCE, DYNAMICS, SYSTEMS, MOTIFS
Related URLs :
Additional Information : Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration, ARTIFICIAL LIFE, 18, 4 (425-444) 2012 http://www.mitpressjournals.org/doi/abs/10.1162/ARTL_a_00075#.VIHFxTGsV8E Copyright Massachusetts Institute of Technology Press 2012
Depositing User : Symplectic Elements
Date Deposited : 05 Dec 2014 14:49
Last Modified : 17 Jan 2015 14:41
URI: http://epubs.surrey.ac.uk/id/eprint/806720

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