z-logo
open-access-imgOpen Access
Linguistic modelling of gene regulation: Translation from the language of experiments to the language of modelling
Author(s) -
Alexander V. Spirov,
Ekaterina Myasnikova
Publication year - 2018
Publication title -
ict express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.733
H-Index - 22
ISSN - 2405-9595
DOI - 10.1016/j.icte.2018.10.008
Subject(s) - translation (biology) , computer science , systems biology , simple (philosophy) , gene regulatory network , action (physics) , computational biology , artificial intelligence , gene , biology , gene expression , messenger rna , genetics , epistemology , physics , philosophy , quantum mechanics
Understanding of gene regulation mechanisms is one of the main goals in systems biology of development. In this communication we introduce a biologically oriented approach to model gene regulation by explicitly involving all the available empirical data. The method is derived by further developing the family of diverse approaches known as fuzzy linguistic modelling (FLM) of gene action. FLM makes it possible to formulate in simple rules the known details of diverse and hierarchical gene-regulatory organization, i.e., to reword experimental conclusions formulated in the language of experimentalists into the language of model designers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom