<p>(A) Simulation of the IGF sub-network lead to attractors A, B and C, the first of which could be matched to attractors 3 and 5 of the complete crosstalk model (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0195126#pone.0195126.g002" target="_blank">Fig 2</a>). (B) Attractors D and E were found while simulating the Wnt sub-network. Here, attractor D could be matched to attractor 1. Each block represents an attractor. The regulatory factors are listed on the y-axis. Each rectangle symbolizes the state of such a factor: red stands for inactive, green for active.</p
Abstract — The multi-scale strategy in studying biological regulatory networks analysis is based on ...
<p>The dose response of the network to an increase in the activity of a growth factor can show diffe...
<p>Attractors and cell types The stationary states of the regulatory network correspond to multiple ...
<p>Exhaustive attractor search of the IGF/Wnt crosstalk model yielded four single state attractors a...
<p>Gene activity for all genes of the model is presented at distinct network states. A green box ind...
<p>Model 1 is the network as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
<p>(A) Based on an initial state where all nodes are inactive, a simulation of a signaling cascade w...
A. Illustration of the network topology searching. Dashed arrows are regulations sampled. The topolo...
A. Influence diagram for transcriptional regulations among four core factors controlling the early T...
<p>IGF and Wnt signaling are simplified and reduced to their most important nodes. Signaling pathway...
Mathematical models of artificial networks can be formulated in terms of dynamical systems describin...
Abstract. In the well-known discrete modeling framework developed by R. Thomas, the structure of a b...
Fixed-point attractors with global stability manifest themselves in a number of gene regulatory netw...
The state-space of a discrete dynamical network is connected into basins of attraction, mathematical...
<p>Excitatory (PYR) cell populations are represented as red cylinders, inhibitory populations as blu...
Abstract — The multi-scale strategy in studying biological regulatory networks analysis is based on ...
<p>The dose response of the network to an increase in the activity of a growth factor can show diffe...
<p>Attractors and cell types The stationary states of the regulatory network correspond to multiple ...
<p>Exhaustive attractor search of the IGF/Wnt crosstalk model yielded four single state attractors a...
<p>Gene activity for all genes of the model is presented at distinct network states. A green box ind...
<p>Model 1 is the network as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
<p>(A) Based on an initial state where all nodes are inactive, a simulation of a signaling cascade w...
A. Illustration of the network topology searching. Dashed arrows are regulations sampled. The topolo...
A. Influence diagram for transcriptional regulations among four core factors controlling the early T...
<p>IGF and Wnt signaling are simplified and reduced to their most important nodes. Signaling pathway...
Mathematical models of artificial networks can be formulated in terms of dynamical systems describin...
Abstract. In the well-known discrete modeling framework developed by R. Thomas, the structure of a b...
Fixed-point attractors with global stability manifest themselves in a number of gene regulatory netw...
The state-space of a discrete dynamical network is connected into basins of attraction, mathematical...
<p>Excitatory (PYR) cell populations are represented as red cylinders, inhibitory populations as blu...
Abstract — The multi-scale strategy in studying biological regulatory networks analysis is based on ...
<p>The dose response of the network to an increase in the activity of a growth factor can show diffe...
<p>Attractors and cell types The stationary states of the regulatory network correspond to multiple ...