Generate sum-of-posteriors probability matrix

Given a set of extracted copy-number features and mixture models for each feature, generate a sum-of-posteriors matrix.

Usage

GenerateSampleByComponentMatrix(
  CN_features,
  all_components = NULL,
  cores = 1,
  rowIter = 1000
)

Arguments

CN_features

A list. The output from either the ExtractRelativeCopyNumberFeatures() or ExtractCopyNumberFeatures() functions.

all_components

A list of flexmix objects. One for each CN-feature. Likely the output from FitMixtureModels().

cores

Integer. The number of cores to use for parallel processing.

rowIter

Integer. Number of rows to ingest per iteration if using multiple cores. Otherwise ignored.

Value

A sum-of-posteriors probability matrix.

Details

For each copy-number event for each sample the posterior probability of belonging to a component is computed. These posterior event vectors are then summed resulting in a sum-of-posterior probabilities vector. All sum-of-posterior vectors are combined into a single patient-by-component sum-of-posterior probabilities matrix.