Build Co-exp network for each study and average

build_coexp_intra_study_spearman_network(
  estimated_expression,
  genes,
  verbose = FALSE
)

Arguments

estimated_expression

data.frame with columns study_accession, run_accession, gene_id, FPKM

genes

vector of gene labels

verbose

verbose output (default: FALSE)

Value

n_gene by n_gene matrix with values with the average spearman rank correlation across studies of of the FPKM values for each run in the study