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» Perturb and simplify: multi-level boolean network optimizer
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ICCAD
1994
IEEE
74views Hardware» more  ICCAD 1994»
13 years 9 months ago
Perturb and simplify: multi-level boolean network optimizer
Shih-Chieh Chang, Malgorzata Marek-Sadowska
TSP
2008
134views more  TSP 2008»
13 years 4 months ago
Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention
Abstract--The dynamics of a rule-based gene regulatory network are determined by the regulatory functions in conjunction with whatever probability distributions are involved in net...
Xiaoning Qian, Edward R. Dougherty
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
BIOINFORMATICS
2005
152views more  BIOINFORMATICS 2005»
13 years 5 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, ...
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
A methodology for the structural and functional analysis of signaling and regulatory networks
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
Steffen Klamt, Julio Saez-Rodriguez, Jonathan A. L...