Finds the iteration which provides maximum affected node number

Source: R/find_iteration.R

searches the iteration that provides maximum affected node number. The user defines a symbolic iteration with .iter. The function calculates the number of affected nodes for each iteration and then selects the iteration that has maximum affected nodes' number.

find_iteration(df, limit = 0.1, plot = FALSE)

Arguments

df

A tbl graph that includes the miRNA and competing targets triggered and simulated for number of cycles.
limit

The minimum amount of change of any node.
plot

If TRUE, returns a plot.

Value

It gives an iteration number to use in simulate() function.

Examples


data('midsamp')

midsamp %>%
  priming_graph(Gene_expression, miRNA_expression) %>%
  update_how('Gene2',2) %>%
  simulate(10) %>%
  find_iteration(limit=0)

#> Warning: First column is processed as competing and the second as miRNA.
#> [1] 3