Figure 1.
Pathway algorithm: in the first step the original methylation dataset is split into several smaller subsets in which all the genes of one subset belong to one pathway in the ConsensusPath database. AdaBoost is applied on the subsets to build classifiers for disease progression. The classification accuracy of each subset was calculated using stratified cross-validation to account for unbalanced classes. Randomly picked subsets of the probes in the original dataset were created so that the pathway sets with the highest accuracies could be tested for significance using z-scores and P values.
Notes: 1http://globocan.iarc.fr/Default.aspx.6https://www.etriks.org/.