Fig. 3From: I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platformsAnalysis results for the TCGA LUAD, KIRC, and pan-cancer data sets using elastic net, I-Boost-CV, and I-Boost-Permutation. Each row represents a particular combination of data types used as predictors, as indicated by the box on the left. Each dot is an average C-index value obtained by performing elastic net, I-Boost-CV, or I-Boost-Permutation on 30 training and testing data set pairs. See the caption of Fig. 1 for the abbreviations of the data typesBack to article page