Theory of chemical reaction network recent developedand application of the frame work for informatics has been aimed. Here, we hypothesized chemical reaction network that obeys Tsallis q-statistics. We applied the Crooks fluctuation theorem for analysis of analyzed an idealized coding way on a simple chemical reaction cascade from perspectives of information conveyed along the signaling pathways . As a result, the information could be quantitatively calculated using Tsallis q-statistics. This mathematically formulating provides a general quantitative viewpoint of biological cellular signaling suitable to evaluate redundancies in actual signaling cascades .
The field of information science has greatly developed, and applications in various fields have emerged. In this paper, we evaluated the coding system in the theory of Tsallis entropy for transmission of messages and aimed to formulate the channel capacity by maximization of the Tsallis entropy within a given condition of code length . As a result, we obtained a simple relational expression between code length and code appearance probability and, additionally, a generalized formula of the channel capacity on the basis of Tsallis entropy statistics. This theoretical framework may contribute to data processing techniques and other applications .
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Theory of chemical reaction network recent developedand application of the frame work for informatics has been aimed. Here, we hypothesized chemical reaction network that obeys Tsallis q-statistics. We applied the Crooks fluctuation theorem for analysis of analyzed an idealized coding way on a simple chemical reaction cascade from perspectives of information conveyed along the signaling pathways
The field of information science has greatly developed, and applications in various fields have emerged. In this paper, we evaluated the coding system in the theory of Tsallis entropy for transmission of messages and aimed to formulate the channel capacity by maximization of the Tsallis entropy within a given condition of code length
R
the information could be quantitatively calculated using Tsallis q-statistics. This mathematically formulating provides a general quantitative viewpoint of biological cellular signaling suitable to evaluate redundancies in actual signaling cascades
we obtained a simple relational expression between code length and code appearance probability and, additionally, a generalized formula of the channel capacity on the basis of Tsallis entropy statistics. This theoretical framework may contribute to data processing techniques and other applications