Title :
Critical Boolean networks require minimal intervention rate
Author :
Vahedi, Golnaz ; Shmulevich, Ilya ; Liu, Wenbin ; Dougherty, Edward
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
A prime objective of modeling gene regulatory networks is the identification of potential targets for therapeutic intervention. To this end, it is crucial to understand the structure-dynamics relationships in biological networks. In this work, we investigate the relationship between the structure of gene regulatory networks modeled as Boolean networks and the benefit-to-intervention-rate ratio of optimal intervention strategies derived for them.
Keywords :
Boolean algebra; biology computing; genetics; molecular biophysics; patient treatment; biological networks; critical Boolean networks; gene regulatory networks; optimal intervention; therapeutic intervention; Bioinformatics; Biological system modeling; Biology computing; Chaos; Computer networks; Genomics; Optimal control; Stability; Steady-state; Systems biology;
Conference_Titel :
Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-4761-9
Electronic_ISBN :
978-1-4244-4762-6
DOI :
10.1109/GENSIPS.2009.5174341
