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Critical Boolean networks require minimal intervention rate

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4 Author(s)
Vahedi, G. ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA ; Shmulevich, I. ; Wenbin Liu ; Dougherty, E.

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.

Published in:

Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on

Date of Conference:

17-21 May 2009