R Bioinformatics Cookbook

How it works...

In Step 1, we loaded the libraries we needed and then prepared the dataframe from the file of edges. The input file is basically an edge list. Each row describes a connection with one of the target nodes in the first column and one in the second. The third column contains a value representing the strength of the interaction between those two nodes, which we'll think of as an edge weight. The fields are separated by a single space and the file has no header with column names. As such, we set the values of the delim and col_names arguments appropriately. We pipe the dataframe to the dplyr::mutate() function to add an extra column called edge_type. In this column, we randomly assign either "A" or "B" to each row using the sample() ...