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Steady-state distributions of output states were generated from the final PBN model using the <t>optPBN</t> <t>toolbox.</t> The mean and standard deviation (SD) of steady-state distribution from ten rounds of simulation (black stars [mean] and error bars [SD] on top) were compared against the experimental data from the training dataset (multi-coloured squares [mean] and error bars [SD] on bottom). Six experimental conditions as labelled on the x-axis are in the following order: DV-WT (WT[-]), DV-WT-Wortmannin (WT[W]), DV-WT-U0126 (WT[U]), DV-dMAPK (dM[-]), DV-dPI3K (dP[-]), and negative control (no doxycycline induction, ND).
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grid-based version of optpbn toolbox  (SourceForge net)
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Steady-state distributions of output states were generated from the final PBN model using the <t>optPBN</t> <t>toolbox.</t> The mean and standard deviation (SD) of steady-state distribution from ten rounds of simulation (black stars [mean] and error bars [SD] on top) were compared against the experimental data from the training dataset (multi-coloured squares [mean] and error bars [SD] on bottom). Six experimental conditions as labelled on the x-axis are in the following order: DV-WT (WT[-]), DV-WT-Wortmannin (WT[W]), DV-WT-U0126 (WT[U]), DV-dMAPK (dM[-]), DV-dPI3K (dP[-]), and negative control (no doxycycline induction, ND).
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Steady-state distributions of output states were generated from the final PBN model using the optPBN toolbox. The mean and standard deviation (SD) of steady-state distribution from ten rounds of simulation (black stars [mean] and error bars [SD] on top) were compared against the experimental data from the training dataset (multi-coloured squares [mean] and error bars [SD] on bottom). Six experimental conditions as labelled on the x-axis are in the following order: DV-WT (WT[-]), DV-WT-Wortmannin (WT[W]), DV-WT-U0126 (WT[U]), DV-dMAPK (dM[-]), DV-dPI3K (dP[-]), and negative control (no doxycycline induction, ND).

Journal: PLoS ONE

Article Title: A Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST

doi: 10.1371/journal.pone.0156223

Figure Lengend Snippet: Steady-state distributions of output states were generated from the final PBN model using the optPBN toolbox. The mean and standard deviation (SD) of steady-state distribution from ten rounds of simulation (black stars [mean] and error bars [SD] on top) were compared against the experimental data from the training dataset (multi-coloured squares [mean] and error bars [SD] on bottom). Six experimental conditions as labelled on the x-axis are in the following order: DV-WT (WT[-]), DV-WT-Wortmannin (WT[W]), DV-WT-U0126 (WT[U]), DV-dMAPK (dM[-]), DV-dPI3K (dP[-]), and negative control (no doxycycline induction, ND).

Article Snippet: This implementation is integrated in the latest version of the optPBN toolbox (version 2.2.3) available on http://sourceforge.net/projects/optpbn .

Techniques: Generated, Standard Deviation, Negative Control