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» An integrative approach to modeling biological networks
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TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
14 years 1 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
BMCBI
2007
171views more  BMCBI 2007»
13 years 7 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
ATAL
2008
Springer
13 years 9 months ago
Multi-agent approach to network intrusion detection
Our demo presents an agent-based intrusion detection system designed for deployment on high-speed backbone networks. The major contribution of the system is the integration of sev...
Martin Rehák, Michal Pechoucek, Pavel Celed...
CMSB
2011
Springer
12 years 7 months ago
The singular power of the environment on stochastic nonlinear threshold Boolean automata networks
Abstract. This paper tackles theoretically the question of the structural stability of biological regulation networks subjected to the influence of their environment. The model of...
Jacques Demongeot, Sylvain Sené
PREMI
2007
Springer
14 years 1 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron