Study on attractors during organism evolution.
Ontology highlight
ABSTRACT: The important question that arises during determining the evolution of organisms is whether evolution should be treated as a continuous process or whether groups of organisms fall into 'local' attractors during evolution. A similar question arises during considering the development of cells after cancer transformation. Answers to these questions can provide a better understanding of how normal and transformed organisms evolve. So far, no satisfactory answers have been found to these questions. To find the answers and demonstrate that organisms during evolution get trapped in 'local' attractors, an artificial neural network supported by a semihomologous approach and unified cell bioenergetics concept have been used in this work. A new universal model of cancer transformation and cancer deve
SUBMITTER: Kasperski A
PROVIDER: S-EPMC8100110 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
ACCESS DATA