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Table 4 Canberra distance and accuracy across breast cancer datasets

From: Improving biomarker list stability by integration of biological knowledge in the learning process

  k GSE2990
vs
GSE3494
GSE3494
vs
GSE7390
GSE2990
vs
GSE7390
Mean
Canberra
Distance
Mean
Accuracy
No prior 4182 0.95 0.94 0.94 0.94 95%
GO BP 4268 0.63 0.65 0.65 0.65 95%
GO MF 3456 0.62 0.62 0.63 0.63 94%
PPI NG 8684 0.62 0.61 0.62 0.62 96%
PPI JA 22207 0.96 0.96 0.97 0.97 95%
PPI FS 22207 0.96 0.97 0.97 0.97 96%
PPI SC 22207 0.91 0.92 0.93 0.93 95%
PE 128 0.70 0.72 0.74 0.74 96%
SP 163 0.68 0.71 0.62 0.62 95%
MI 310 0.62 0.65 0.64 0.64 93%
  1. Pair-wise Canberra distance between the three breast cancer datasets at different number of features selected according to the minimum Canberra distance within datasets, using the standard classification approach without prior knowledge integration and different prior knowledge based similarity matrices. The corresponding mean value and the mean accuracy obtained across the three datasets are also reported.