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,

denotes the D-index of the top n-gene classifier for partition/realization p in test set of the training cohort s. 3,

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,

, is defined by the number of top-ranked genes, n, that maximizes

. (c) Validation of the optimal classifiers

in completely independent external cohorts.