Ensemble of correlation, parenclitic and synolitic graphs as a tool to detect universal changes in complex biological systems. Comment on "Dynamic and thermodynamic models of adaptation" by A.N. Gorban et al.
Complexity is a natural feature of biological systems. For example, a human can be characterised by a vast amount of information, packed in a super-network that is, in principle, a network of networks . For each human cell, the total amount of DNA, if measured in bases, has an informational length of the 3.2 Gb. However, in total, we have approximately 1012 cells, and in each of them, even neglecting mosaic mutations, the genotype information is multiplied by the epigenome, transcriptome, proteome and metabolome profiles, which are organized in a huge and very dynamic connectome. Each tissue can be represented by a graph or network and connected to other networks, resulting in a super-network containing a huge number of features describing a complex biological system. When the biological system ages, or approaches a diseased state, the bodies adaptation to maintaining homeostasis is reflected in the changes of this super-network.