TCGA_E9_A1N5_mirnanormal
                        TCGA_E9_A1N5_mirnanormal
TCGA_E9_A1N5_mirnatumor
                        TCGA_E9_A1N5_mirnatumor
TCGA_E9_A1N5_normal     TCGA_E9_A1N5_normal
TCGA_E9_A1N5_tumor      TCGA_E9_A1N5_tumor
calc_perturbation       Calculates average expression changes of all
                        nodes except trigger and finds the perturbed
                        node count for a given node.
find_iteration          Finds the iteration which provides maximum
                        affected node number
find_node_perturbation
                        Calculates average expression changes of all
                        (or specified) nodes except trigger and finds
                        the perturbed node count for all (or specified)
                        nodes in system.
huge_example            huge example
midsamp                 midsamp
midsamp_new_counts      midsamp_new_counts
minsamp                 minsamp
mirtarbasegene          mirtarbasegene
new_counts              new_counts
priming_graph           Converts the given dataframe using first
                        variable as competing and the second as miRNA.
                        The function converts the given dataframe using
                        first variable as competing and the second as
                        miRNA. If user defines interaction factors as
                        affinity or degradation, the factors are taken
                        into account.
simulate                Utilizes the change in expression value/s as
                        triggering.
simulate_vis            Provides visualisation of the graph in addition
                        to simulate function.
update_how              Converts the count value of the given node.
update_nodes            Carries variables from edge to node.
update_variables        Replaces new values with previous values of
                        competing or miRNA counts.
vis_graph               Provides visualisation of the graph.
