Table 8.
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) |
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.