35 research outputs found

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-1

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p>, obtained using the nonlinear models corresponding to = 0.6 (a) and = 2 (b). Time is expressed in minutes

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-5

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p>ar model corresponding to = 1.8, as a function of the of the noise. = 0 corresponds to the noiseless case

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-8

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p> function at increasingly high values of

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-6

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p>model, as a function of the sampling interval (in minutes)

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-0

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p> of the parameter of the hyperbolic tangent function (continuous blue curves); the dashed red curves refer to the RMSE and average number of parents for the linear regression model. The dash-dotted green curve in (b) represents the average number of parents in the differential equation model (i.e. the average number of true parents). Further analyses showed that, for → + ∞, the RMSE saturates at 0.247, and the average number of parents saturates at 3.4

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-7

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p>ar model corresponding to = 0.8, as a function of the sampling interval (in minutes)

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-2

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p> of the hyperbolic tangent function (continuous blue curves). The dashed red curves refer to the recall, precision and F-measure of the linear regression model. Further analyses showed that, for → + ∞, recall saturates at 0.27, precision at 0.26, and the F-measure at 0.26

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-3

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p> to the number of parent-child relationships in the true model)

    Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-4

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p>model as a function of the of the noise. = 0 corresponds to the noiseless case

    Additional file 1 of Macrophage subpopulations in pediatric patients with lupus nephritis and other inflammatory diseases affecting the kidney

    No full text
    Additional file 1: Supplemental Table 1. Characteristics of adult LN cohort. Supplemental Table 2. Primary antibodies used for immunofluorescence microscopy. Supplemental Table 3. Secondary antibodies used for immunofluorescence microscopy (IF)
    corecore