Compute a dynamic difference network

dynamic_difference_network(
  edgeDF,
  epochs,
  condition,
  type,
  diff_thresh = 3,
  condition_thresh = 6
)

Arguments

edgeDF: the result of running edge_uniqueness
epochs: list of epoch gene assignments
condition: condition of interest, should be one of the treatment (aka network name) or column names in edgeDF
type: "on" or "off" specifies either finding edges that are active in the condition network but off others or inactive in condition network but active in others
diff_thresh: edge difference threshold to determine if edge is uniquely on or off
condition_thresh: edge weight theshold in condition network to keep or filter out in difference network

list of dataframes representing the dynamic difference network