Figure 1

(a) For each of 10 random partitions of training cohorts into training and test sets we rank the genes according to their average Cox-scores over the N _train training cohorts (N _train = 3). (b) 1, Definition of MPI and evaluation of the optimal classifier(s) using the independent test sets of the training cohorts. 2, $D_{ps}^{(n)}$ denotes the D-index of the top n-gene classifier for partition/realization p in test set of the training cohort s. 3, $D_p^{(n)}$ denotes the weighted average D-index over the test sets in the training cohorts where N _s denotes the size of the test set of training cohort s. 4, The optimal classifier for each partition/realization p, $MP{I}_p^{\ast }$, is defined by the number of top-ranked genes, n, that maximizes $D_p^{(n)}$. (c) Validation of the optimal classifiers $MP{I}_p^{\ast }$ in completely independent external cohorts.