Assessment of individual machine-learning tool classifiers.

Results obtained with individual machine-learning tools, trained on the Wright et al. data set and using 20 classifier genes are shown. Survival separation between ABC and GCB classes for the data sets GSE32918, and GSE10846 divided into CHOP and R-CHOP components, was used for assessment. Hazard Ratios were generated for GCB relative to ABC as baseline. The classifiers were ordered by their average rank across the data sets; with rank determined by the p-value of the ABC/GCB separation. The LPS classifier was used for comparison with either a 0.8 or 0.9 p-value cut-off, with either MaxAvgMerge or MedianMerge methods of combining probes (see Materials and Methods). The Classifier Identity, Hazard Ratio (GCB vs ABC as baseline), 95% confidence interval of the Hazard Ratio, and the resulting p-value for survival separation are shown.