Cross-validation | This approach was used to compute the covariance matrix estimates and their true loss in the simulation study (Fig. |
Simulation | The covariance matrices were then subjected to the respective regularizations to produce the ground truth matrices for the simulation studies (Fig. |
an | This simulation study demonstrated that cross-validated evaluation of regularized estimators of the covariance matrices of population activity can discriminate between structures of dependencies in the population. |
Abstract | Our simulation studies further illustrate the elaborate spatio-temporal regulation of DVL, which, depending on its concentration and localization, may either act as direct inducer of the transient ROS/B-catenin signal or as amplifier during continuous auto-/ parcrine WNT/B-catenin signaling. |
Endogenous ROS signaling as potential trigger for ,B-catenin signaling | Our simulation studies confirm that the presented model of combined redox and raft-dependent wnt signaling provides a sustained eXplanation to our experimental data. |
Nuclear ,B-catenin dynamics during early differentiation in human neural progenitor cells | To explore the signaling mechanisms of both, the continuous activation pattern in untreated and in particular the early immediate response in raft-deficient cells, we perform a number of simulation studies based on a validated computational model of WNT signaling we will present in the following. |
A simulation study of tests for the correlation of CPI-supported paths and carriage | A simulation study of tests for the correlation of CPI-supported paths and carriage |
Author Summary | A simulation study was first conducted to choose a test statistic for the association of CPI paths with transmission, showing that CPI path length from transmitter to incident case was the most powerful. |
Statistical analysis | To first study the characteristics of the three approaches and choose the most powerful, we used a simulation study based on a Susceptible—Colonized—Susceptible transmission model on the CPI network. |