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Table 1 Summary of GEO breast cancer microarray datasets and results of class prediction analysis for the meta-gene lists, DN (Ductal/Normal) and LN (Lobular/Normal).

From: A resampling-based meta-analysis for detection of differential gene expression in breast cancer

Study GEO ID Class Meta gene-list
    DN LN
  N T Accuracy
(%)
Number of genes rDN Accuracy
(%)
Number of genes rLN
Turashvili [5] GDS2635 10 10 93 57 0.85 80 49 0.87
Richardson [7] GDS2250 7 40 100 145 0.86 100 96 0.78
Karnoub [8] GSE8977 15 7 95.5 109 0.72 95.5 89 0.81
  1. Normal (N) and tumor (T) sample sizes, accuracy of prediction from binary tree algorithm (% accuracy), and the number of genes in classifier (number of genes) were shown for each study, separately. Correlation (rDN, rLN) of the classifier expression from each study with the DN and LN meta-gene expressions were also indicated (Pearson correlation, Minitab®; p < 0.001).