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Table 8 Comparison of methods in prediction of ER status.

From: The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations

Method Training Data (two data sets)
  Sotiriou+Miller expObreast+Sotiriou expObreast+Miller
TSP .869 (.950, .788) .803 (.676, .930) .727 (.533, .920)
TST .867 (.950, .783) .876 (.882, .869) .769 (.600, .938)
  Training Data (one data set)
Method Sotiriou Miller expObreast
TSP .883 (.926, .840) .847 (.789, .904) .786 (.641, .932)
TST .841 (.936, .745) .852 (.800, .904) .806 (.688, .924)
  1. Top: classification results when training on the data set obtained by integrating two of the three microarray data sets and testing on the third one. Bottom: classification results when training on one of the three microarray data sets and testing on the data set obtained by integrating the other two. The numbers in the parentheses are the sensitivity and specificity levels respectively.