This software is intended for running the classification procedures. CLASSIFICATION WITH C4.5 To execute the classification with the C4.5 algorithm open the terminal and run the following command: $ java -jar J48.jar input_file_path output_file_name folds_number where input_file_path, is a path of the matrix file in your file system that you want to process; output_file_name, is the name of the output file; folds_number, is the number of folds for cross validation sampling. example: java -jar J48.jar input_DNAMeth_matrix/DNA-methylation_Matrix_BreastCancer.csv breastCancer_DNAMeth 10 CLASSIFICATION WITH RIPPER To execute the classification with the RIPPER algorithm open the terminal and run the following command: $ java -jar Jrip.jar input_file_path output_file_name folds_number where input_file_path, is a path of the matrix file in your file system that you want to process; output_file_name, is the name of the output file; folds_number, is the number of folds for cross validation sampling. example: java -jar Jrip.jar input_DNAMeth_matrix/DNA-methylation_Matrix_BreastCancer.csv breastCancer_DNAMeth 10 For big data matrices you can specify how much memory space you need for the execution, for example to allocate 6 GB of RAM: java -Xmx6g -jar Jrip.jar input_DNAMeth_matrix/DNA-methylation_Matrix_BreastCancer.csv breastCancer_DNAMeth 10 CLASSIFICATION WITH Random Forest To execute the classification with the RIPPER algorithm open the terminal and run the following command: $ java -jar RandomForest.jar input_file_path output_file_name folds_number number_of_trees where input_file_path, is a path of the matrix file in your file system that you want to process; output_file_name, is the name of the output file; folds_number, is the number of folds for cross validation sampling; number_of_trees, is the number of the trees in the forest. example: java -jar RandomForest.jar input_DNAMeth_matrix/DNA-methylation_Matrix_BreastCancer.csv breastCancer_DNAMeth 10 30 For big data matrices you can specify how much memory space you need for the execution, for example to allocate 6 GB of RAM: java -Xmx6g -jar RandomForest.jar input_DNAMeth_matrix/DNA-methylation_Matrix_BreastCancer.csv breastCancer_DNAMeth 10 30 CLASSIFICATION WITH CAMUR Please refer to http://dmb.iasi.cnr.it/camur.php for running the CAMUR classification tool. CONTACTS Please contact Eleonora Cappelli (eleonora.cappelli@uniroma3.it) if you have questions.