based modelling environment data2dynamics  (MathWorks Inc)

Journal: PLoS Computational Biology

Article Title: A method for the inference of cytokine interaction networks

doi: 10.1371/journal.pcbi.1010112

Figure Lengend Snippet: The parameter θ m ∈ θ was varied over a broad range of values and for each fixed value of θ m , the increase in D P L ( θ m ) = min θ ˜ m - 2 log ( L ( θ ) ) was computed, with L ( θ ) the likelihood function as defined in , and θ ˜ m = { θ 1 , … , θ m - 1 , θ m + 1 , θ N } . The 99% confidence interval threshold is shown as a red dashed line. The parameter values used to generate the synthetic dataset are shown as red dots. The parameter values resulting in the minimal D = min θ - 2 log ( L ( θ ) ) are shown as grey stars. This figure has been generated using the Matlab environment ‘Data2Dynamics’ [ , ].

Article Snippet: Our method depends on the global minimization of a log-likelihood function and a deterministic trust-region approach was used combined with a multi-start strategy, as implemented in the Matlab-based modelling environment ‘Data2Dynamics’ [ ].

Techniques: Generated

Journal: PLoS Computational Biology

Article Title: A method for the inference of cytokine interaction networks

doi: 10.1371/journal.pcbi.1010112

Figure Lengend Snippet: The parameter θ m = s A ∈ θ was varied over a broad range of values and for each fixed value of θ m , the increase in D P L ( θ m ) = min θ ˜ m - 2 log ( L ( θ ) ) was computed, with L ( θ ) the likelihood function as defined in , and θ ˜ m = { θ 1 , … , θ m - 1 , θ m + 1 , θ N } . The 99% confidence interval threshold is shown as a red dashed line and corresponds to a two order of magnitude interval for s A . The parameter value used to generate the synthetic dataset is shown as a red dot. The parameter value resulting in the minimal D = min θ - 2 log ( L ( θ ) ) is shown as a grey star. This figure has been generated using the Matlab environment ‘Data2Dynamics’ [ , ].

Article Snippet: Our method depends on the global minimization of a log-likelihood function and a deterministic trust-region approach was used combined with a multi-start strategy, as implemented in the Matlab-based modelling environment ‘Data2Dynamics’ [ ].

Techniques: Generated