Parallel processing handling function

Boot_parallel(
  BPPARAM = NULL,
  samples,
  data,
  formula.str,
  group.name,
  groups,
  meta.info,
  a1,
  a2,
  pSamples
)

Arguments

BPPARAM: A parallel BPPARAM object for distributed computation.
samples: bootstrapped samples matrix
data: A SummarizedExperiment object or a matrix where rows represent features (e.g., genes, proteins) and columns represent samples. The values should be log-transformed.
formula.str: A formula string used when covariates are present in meta. info for modeling. It should include "~ 0 + ..." to exclude the intercept from the model.
group.name: A string specifying the column in meta.info that represents the groups or conditions for comparison.
groups: groups information from meta.info
meta.info: A data frame containing sample-level metadata, where each row corresponds to a sample. It should include the grouping variable specified in group.name. If x is a SummarizedExperiment object, meta.info must be a vector of the metadata needed for the model to run and can be retrieved using colData().
a1: Optional numeric value used in the optimization process. If defined by the user, no optimization occurs.
a2: Optional numeric value used in the optimization process. If defined by the user, no optimization occurs.
pSamples: a permutated list of samples

A list containing: D, S, pD, pS for bootstrapped data and for permuted data.