dissimilarity_correlation — dissimilarity

dissimilarity_correlation

Usage

dissimilarity_correlation(
  data1,
  data2,
  outputName = "",
  cond1 = "data1",
  cond2 = "data2",
  perm_dist = NULL,
  perm_dplus = NULL,
  perm_dmin = NULL,
  perm_mode = FALSE
)

Arguments

data1: dataframe of the foldchange and adjusted pvalue of condition 1 with the columns: fc (foldchange), pval (adjusted pvalue), genes (gene identifiers)
data2: the same as data1 for condition 2
outputName: filename for the output visualization
cond1: name of condition 1
cond2: name of condition 2
perm_dist: vector of permutation of the dissimilarity scores
perm_dplus: vector of permutation of the dplus values
perm_dmin: vector of permutation of the dmin values
perm_mode: if TRUE, permutation mode is used to calculate the permutation distributions. No need to supply the permutation distributions. No visualizations will be made

Value

list of the correlation measure (rho), the similarity score (dplus) and the anti-similarity score (dmin).

Examples

# Internal function