Estimates the parameters of the statistical model for the integrated version the CASTLE algorithm based on a set of training samples, assumed to have no mutant DNA present.
train_integrated_ddpcr_model(background_samples, abc_grid_resolution = 25)
data.frame with cancer negative training
samples as rows. These are the samples used to train/estimate the
parameters of the model. At least the following columns should be present:
If data from QuataSoft is available,
these can be imported using
The resolution of the 3D-grid on which the integrated LR-test statistic is approximated. Default is 25 (equal to a grid of 25^3 = 15,625 points).
List of parameter estimates for the integrated CASLTE model. This
should be used as input for
In the test an integrated version of the Likelihood Ratio test
statistic is used, and this is approximated using a Riemann sum on a
3D-grid. The parameter
abc_grid_resolution controls this
approximation as the sum is calculated on
points. Higher values give better approximation but longer computation