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Table 5 Stability of gene selection

From: Microarray-based cancer prediction using single genes

Dataset Classifier The genes selected and their occurrence percentages across the CV loop
Melanoma SGC-t 200965_s_at (99%), 213050_at (1%)
  SGC-W 217906_at (92%), 218552_at (4%), 218996_at (1%), 219343_at (1%), 221577_x_at (1%), 221882_s_at (1%)
Breast Cancer 1 SGC-t 259466 (92%), 291660 (5%), 950574 (3%)
  SGC-W 259466 (98%), 291660 (2%)
Brain Cancer SGC-t J02611_at (95%), X53331_at (5%)
  SGC-W J02611_at (93%), X67951_at (3%), HG3543-HT3739_at (2%), X12794_at (2%),
Breast Cancer 2 SGC-t AI868854 (65%), AK026899 (13%), AK026789 (12%), AK025709 (3%), AI240933 (3%), AF119844 (2%), AW006861 (2%)
  SGC-W N30081 (65%), AF119844 (23%), AI868854 (12%)
Gastric Tumor SGC-t W70254 (100%)
  SGC-W AA171606 (94%), W70254 (6%)
Lung Cancer 1 SGC-t 37210_at (66%), 198_g_at (15%), 40165_at (12%), 32254_at (5%), 41344_s_at (2%)
  SGC-W 1252_at (100%)
Lung Cancer 2 SGC-t 33754_at (100%)
  SGC-W 40936_at (98%), 33833_at (0.5%), 34320_at (0.5%), 37157_at (0.5%), 39640_at (0.5%)
Lymphoma SGC-t X76538_at (100%)
  SGC-W X76538_at (91%), D30655_at (9%)
Myeloma SGC-t 33146_at (88%), 32546_at (12%)
  SGC-W 32546_at (99%), 1071_at (1%)
Pancreatic Cancer SGC-t 209596_at (98%), 206451_at (2%)
  SGC-W 206451_at (45%), 209596_at (43%), 218498_s_at (6%), 219625_s_at (4%), 212058_at (2%)
Prostate Cancer SGC-t 34452_at (100%)
  SGC-W 34452_at (100%)
  1. Note: In Breast Cancer 1, the genes are denoted by Clone ID; in Breast Cancer 2 and Gastric Tumor, the genes are denoted by GenBank Accession number; in all the others, the genes are denoted by Probe Set.