pone.0208626.g001.tif (325.99 kB)
Main components of the proposed methodology to predict disease genes.
figure
posted on 2018-12-10, 18:45 authored by Muhammad Asif, Hugo F. M. C. M. Martiniano, Astrid M. Vicente, Francisco M. CoutoFunctional 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.