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Table 1 Results on cancer gene expression data

From: On reliable discovery of molecular signatures

Data set (ref.) n MCF,% CV,% TA,%(ref.) BS BS0 RFE RFE0 DE
Golub (2) 72 32 97.0 ± 4.2 99.3 (28) 537 0 35 154 1007
Singh (4) 136 43 92.6 ± 3.0 81.1 (27) 99 0 48 312 3807
Alon (1) 62 35 81 ± 7.2 97.9 (29) 19 0 55 94 303
Wang (6) 286 37 65 ± 4.3 N/A 0 0 261 1250 106
van't Veer (5) 97 47 62 ± 8.4 N/A 0 0 42 153 1
  1. Results are ordered by prediction accuracy. n, number of samples; MCF, minority class frequency; CVA, balanced cross-validated prediction accuracy, mean ± std.dev.; TA, balanced prediction accuracy of bootstrap signature on an independent test set (reference given in parentheses); BS, significant genes using the bootstrap with SVM at 5% FDR; RFE, genes chosen by recursive feature elimination; BS0 and RFE0, gene chosen by the bootstrap and RFE methods respectively on randomized data. DE, differentially expressed genes using the t-test at 5% FDR.