<p>Simulation Results: Parameter estimates resulting from simulation for the model with and without outcome with N = 80 patients, J = 50 genes, and 100 replications with 1000 iterations each.</p
<p>All simulations used 5 peaks and was run 300 times for each combination of noise and genes.</p
<p>A: 10 genes have a linear effect on the patient outcome. B: 20 genes have a linear effect. C: 10 ...
<p>(A) Result of simulating the ODE model with initial conditions corresponding to low concentration...
<p>The simulation were run with σ set to 2 and μ set to 0.30 and censoring rate set to 0.76 for logn...
<p>The figure plots the mean (A) genotype error and (B) clone frequency error as a function of the...
<p>Parameter values are means from the analysis of 10 simulated data sets generated using a model wi...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
<p>Simulation results at significance level with different methods for phenotypic data generated fr...
<p>The values of 2 and 1 represent the sigma values of the lognormal distribution and .76, .42 and ....
<p>The values of .6, 1 and 2 represent the shape values of the Weibull distribution and .76, .42 and...
<p>The values of .6, 1 and 2 represent the shape values of the Weibull distribution and .76, .42 and...
The various conditions and parameter values for each cell type, where n indicates the number of cell...
<p>(A) Recovery of global features of simulated ARGs from sequence data. This plot is based on sets ...
<p>All simulations used 5 peaks and was run 300 times for each combination of noise and genes.</p
<p>A: 10 genes have a linear effect on the patient outcome. B: 20 genes have a linear effect. C: 10 ...
<p>(A) Result of simulating the ODE model with initial conditions corresponding to low concentration...
<p>The simulation were run with σ set to 2 and μ set to 0.30 and censoring rate set to 0.76 for logn...
<p>The figure plots the mean (A) genotype error and (B) clone frequency error as a function of the...
<p>Parameter values are means from the analysis of 10 simulated data sets generated using a model wi...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>The true positive rate (TPR, row 1), false discovery rate (FDR, row 2) and false positive rate (F...
<p>Simulation results: The number of true positives and false positives detected by CPBayes at diffe...
<p>Simulation results at significance level with different methods for phenotypic data generated fr...
<p>The values of 2 and 1 represent the sigma values of the lognormal distribution and .76, .42 and ....
<p>The values of .6, 1 and 2 represent the shape values of the Weibull distribution and .76, .42 and...
<p>The values of .6, 1 and 2 represent the shape values of the Weibull distribution and .76, .42 and...
The various conditions and parameter values for each cell type, where n indicates the number of cell...
<p>(A) Recovery of global features of simulated ARGs from sequence data. This plot is based on sets ...
<p>All simulations used 5 peaks and was run 300 times for each combination of noise and genes.</p
<p>A: 10 genes have a linear effect on the patient outcome. B: 20 genes have a linear effect. C: 10 ...
<p>(A) Result of simulating the ODE model with initial conditions corresponding to low concentration...