In order to find the predicted target genes for all the miRNA, we used miRDB 6.0 () . miRDB provides a prediction score for all suggested target genes, so we removed all target genes that had a score below 98. We created a Python script, which found the individual target genes from all associated miRNA. These genes were added to the list of attributes. Then we created a script, which iterated through all miRNAs and their target genes. For each predicted gene target in the file, the miRNA would be assigned "1" for that attribute. All target genes that a particular miRNA was not predicted to have relation with were assigned a "0" for the attribute.