summarized measurements for a batch of samples are then clustered into discrete copy number classes using a one-dimensional Gaussian mixture model (GMM), where the expected location of copy number clusters is informed by the results of previous experiments (Fig. 2d-f). The resulting clusters are used to assign a CNP genotype to each sample at each CNP, as well as a score reflecting the confidence of each assignment (Supplementary Methods online).
