Prepare correlation-based module detection — cor_module

This function will calculate the correlation coefficients between the genes, using the highly variable genes (if available, otherwise the function will use the raw data). The data will be stored in a memory-efficient format in the properties of the class.

Usage

cor_module_processing(
  object,
  cor_method = c("pearson", "spearman"),
  .verbose = TRUE
)

Arguments

object: The class, see BulkCoExp(). Ideally, you should run preprocess_bulk_coexp() before applying this function.
cor_method: String. Option of c("pearson", "spearman").
.verbose: Boolean. Controls verbosity of the function.

Value

The class with added data to the properties for subsequent usage.