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The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.Exploiting ecological principles to better understand cancer progression and treatment.Homeostasis Back and Forth: An Ecoevolutionary Perspective of Cancer.Emergent properties of a computational model of tumour growth.A deterministic model for the occurrence and dynamics of multiple mutations in hierarchically organized tissues.Systems biology and cancer.A Systems Engineering Perspective on Homeostasis and Disease.The Influence of Cellular Characteristics on the Evolution of Shape Homeostasis.
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 23 March 2011
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Evolving homeostatic tissue using genetic algorithms.
@en
Evolving homeostatic tissue using genetic algorithms.
@nl
type
label
Evolving homeostatic tissue using genetic algorithms.
@en
Evolving homeostatic tissue using genetic algorithms.
@nl
prefLabel
Evolving homeostatic tissue using genetic algorithms.
@en
Evolving homeostatic tissue using genetic algorithms.
@nl
P2860
P1476
Evolving homeostatic tissue using genetic algorithms
@en
P2093
David Basanta
Philip Gerlee
P2860
P304
P356
10.1016/J.PBIOMOLBIO.2011.03.004
P577
2011-03-23T00:00:00Z