Main components of the proposed methodology to predict disease genes. AsifMuhammad MartinianoHugo F. M. C. M. M. VicenteAstrid M. CoutoFrancisco 2018 <p>Functional similarities are computed for a given set of genes. Different machine learning methods are applied to functional similarity matrices to define rules that discriminate disease genes from non-disease genes. Two evaluation approaches, namely stratified and held-out restricted stratified five-fold cross-validation are used.</p>