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Cancer and Chaos and the Complex Network Model of a Multicellular Organism
by
Gecow, Andrzej
, Iantovics, Laszlo Barna
, Tez, Mesut
in
biology
/ Boolean
/ Cancer
/ chaos
/ Chaos theory
/ deterministic chaos
/ Fractals
/ genome
/ genome chaos
/ Genomes
/ half-chaos
/ Hypotheses
/ Hypothesis
/ multicellular organism
/ Multiple myeloma
/ Natural selection
/ Somatic cells
/ Systems stability
2022
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Cancer and Chaos and the Complex Network Model of a Multicellular Organism
by
Gecow, Andrzej
, Iantovics, Laszlo Barna
, Tez, Mesut
in
biology
/ Boolean
/ Cancer
/ chaos
/ Chaos theory
/ deterministic chaos
/ Fractals
/ genome
/ genome chaos
/ Genomes
/ half-chaos
/ Hypotheses
/ Hypothesis
/ multicellular organism
/ Multiple myeloma
/ Natural selection
/ Somatic cells
/ Systems stability
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Cancer and Chaos and the Complex Network Model of a Multicellular Organism
by
Gecow, Andrzej
, Iantovics, Laszlo Barna
, Tez, Mesut
in
biology
/ Boolean
/ Cancer
/ chaos
/ Chaos theory
/ deterministic chaos
/ Fractals
/ genome
/ genome chaos
/ Genomes
/ half-chaos
/ Hypotheses
/ Hypothesis
/ multicellular organism
/ Multiple myeloma
/ Natural selection
/ Somatic cells
/ Systems stability
2022
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Cancer and Chaos and the Complex Network Model of a Multicellular Organism
Journal Article
Cancer and Chaos and the Complex Network Model of a Multicellular Organism
2022
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Overview
In the search of theoretical models describing cancer, one of promising directions is chaos. It is connected to ideas of “genome chaos” and “life on the edge of chaos”, but they profoundly differ in the meaning of the term “chaos”. To build any coherent models, notions used by both ideas should be firstly brought closer. The hypothesis “life on the edge of chaos” using deterministic chaos has been radically deepened developed in recent years by the discovery of half-chaos. This new view requires a deeper interpretation within the range of the cell and the organism. It has impacts on understanding “chaos” in the term “genome chaos”. This study intends to present such an interpretation on the basis of which such searches will be easier and closer to intuition. We interpret genome chaos as deterministic chaos in a large module of half-chaotic network modeling the cell. We observed such chaotic modules in simulations of evolution controlled by weaker variant of natural selection. We also discuss differences between free and somatic cells in modeling their disturbance using half-chaotic networks.
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