These scripts and datafiles are provided as-is, and come without any warranty whatsoever. If it works for you, great, let me know! If it doesn't work for you, we'd be happy to try and help you fix it. If it destroys your universe, too bad (you may still file a bug report). the test.r script runs one of the Random Forrest classifiers for prediction of PPI Interface residues, on one of the provided datafiles, and evaluates its performance on the true interface sites also annotated based on PDB and PISA in the same datafiles. Copyright (c) 2016 Q. Hou , P. De Geest , W.F. Vranken , J. Heringa , K. Anton Feenstra PLEASE CITE: Qingzhen Hou, Paul De Geest, Wim F. Vranken, Jaap Heringa and K. Anton Feenstra. Seeing the Trees through the Forest: Sequence-based Homo- and Heteromeric Protein-protein Interaction sites prediction using Random Forest. Bioinformatics, in press (2016). :ETIC ESAELP This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see .