Process hit data for hierarchical clustering.

prepare_clustergram_data(case_rcp, hit_list, binarize_clustergram = TRUE,
  rcp_thresh = 0.95, sample_field_delimiter = ".",
  sample_key_field = 4, AVARDA_RCP = NA)

Arguments

case_rcp

RCP data from RCPGenerator or compute_rcp_list.

hit_list

Subset candidate data from filter_hits or filter_hits_list.

binarize_clustergram

Logical controlling whether or not clustergram will be binarized above/below rcp_thresh.

rcp_thresh

Threshold value to binarize against if binarize_clustergram == TRUE.

sample_field_delimiter

Field delimiter in sample names (column names of case_rcp.)

sample_key_field

Which field(s) to retrain from sample names when separated by sample_field delimiter.

AVARDA_RCP

Optional AVARDA breadth case RCP data to add to clustergram.