Open AccessGene perturbation and intervention in probabilistic Boolean networks
Author(s) -
Ilya Shmulevich,
Edward R. Dougherty,
Wei Zhang
Publication year - 2002
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/18.10.1319
Subject(s) - boolean network , gene regulatory network , probabilistic logic , computer science , markov chain , biological network , theoretical computer science , perturbation (astronomy) , network dynamics , gene , computational biology , artificial intelligence , machine learning , mathematics , boolean function , biology , algorithm , genetics , physics , quantum mechanics , discrete mathematics , gene expression
A major objective of gene regulatory network modeling, in addition to gaining a deeper understanding of genetic regulation and control, is the development of computational tools for the identification and discovery of potential targets for therapeutic intervention in diseases such as cancer. We consider the general question of the potential effect of individual genes on the global dynamical network behavior, both from the view of random gene perturbation as well as intervention in order to elicit desired network behavior.
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