Package ‘ BoolNet ’
نویسندگان
چکیده
November 16, 2009 Type Package Title Generation, reconstruction, simulation and analysis of Boolean networks Version 1.3 Date 2009-10-02 Author Christoph Muessel, Dao Zhou, Hans Kestler Maintainer Hans Kestler Suggests igraph Description Provides methods to reconstruct and generate Boolean networks, and to analyze and visualize attractors in Boolean networks License Artistic-2.0 LazyLoad yes Repository CRAN Date/Publication 2009-11-16 07:44:50
منابع مشابه
BoolNet - an R package for generation, reconstruction and analysis of Boolean networks
MOTIVATION As the study of information processing in living cells moves from individual pathways to complex regulatory networks, mathematical models and simulation become indispensable tools for analyzing the complex behavior of such networks and can provide deep insights into the functioning of cells. The dynamics of gene expression, for example, can be modeled with Boolean networks (BNs). The...
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3 Network analysis 15 3.1 Simulation of state transitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2 Identification of attractors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.3 Markov chain simulations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.4 Robustness assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
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one for each variable. These transition functions map an input of the Boolean variables in X to a Boolean value (0 or 1). We call a Boolean vector x(t) = (x1(t), . . . , xn(t)) the state of the network at time t. Then, the next state of the network x(t+ 1) is calculated by applying all transition functions fi(x(t)). In a biological context, genes can be modeled as Boolean variables (active/expr...
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