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optpbn toolbox  (SourceForge net)

 
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    Structured Review

    SourceForge net optpbn toolbox
    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).
    Optpbn Toolbox, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/optpbn toolbox/product/SourceForge net
    Average 90 stars, based on 1 article reviews
    optpbn toolbox - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "A Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST"

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

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0156223

    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).
    Figure Legend 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).

    Techniques Used: Generated, Standard Deviation, Negative Control



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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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    Image Search Results


    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