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We study a model of evolving populations of self-learning agents and analyze the interaction between learning and evolution.
We propose a model of evolving biological complexity in which environmentally-selected gains or losses of PCI methylation respectively favor positive or negative selection, thus polarizing PCI+ gene structures around a genomic core of ancestral PCI- genes.
Thus, we have revealed a previously unappreciated role for Notch signaling in the maintenance of an intact communicating IHBD network and describe a model of evolving cholestasis.
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We considered a simplified model of evolving proteins.
This paper defines a mouse model of evolving postnatal cholestasis that might help to shed light on the mechanisms underlying AGS in this subset of patients.
To address the question posed in 'Results' (under 'General framework of the model'), a population genetics model of evolving prokaryotes under NFDS was developed (our model is very similar to that described in Hodgson and Otto [ 41], except that it incorporates neutral loci, but does not assume modifier loci).
To address the above question, a deterministic population genetics model of evolving prokaryotes under NFDS was developed.
Thus, our mouse model of evolving cholestasis provides the potential for future translational research that is directed at identifying factors that predict complications of chronic cholestasis that would lead to liver transplantation in AGS patients.
For example, if the model of evolving rates suggested by Heard [ 14] applied to duplication rates with greater variation than for speciation rates, this would predict the sort of difference observed.
Here, we study genome dynamics in a model of virtual cells evolving to maintain homeostasis.
More recently, using a model of virtual cells evolving to maintain homeostasis, Cuypers and Hogeweg (2012) showed a similar general pattern of genome evolution where genomes undergo an initial period of expansion as they adapt to new environments followed by a longer period of streamlining where genes redundant in the new environment are lost.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com