Table 2

Estimates of area under ROC curve (AUC) and 95% confidence intervals

Number of genes in classification rule


Data set

Percent in training sample

1 gene

5 genes

20 genes

50 genes


Colon cancer

50%

.77 (.55 to .92)

.82 (.62 to .95)

.84 (.66 to .95)

.85 (.69 to .95)

80%

.86 (.59 to 1)

.90 (.69 to 1)

.89 (.69 to 1)

.90 (.70 to 1)

Leukemia

50%

.90 (.72 to 1)

.95 (.84 to .99)

.97 (.90 to .99)

.98 (.93 to 1)

80%

.95 (.76 to 1)

.97 (.84 to 1)

.99 (.91 to 1)

.99 (.93 to 1)

Medulloblastoma

50%

.60 (.50 to .77)

.62 (.50 to .78)

.65 (.50 to .79)

.67 (.51 to .82)

80%

.65 (.50 to .88)

.69 (.50 to .88)

.75 (.50 to .94)

.78 (.50 to .97)

Breast Cancer

50%

.81 (.58 to .94)

.88 (.71 to .97)

.91 (.75 to .99)

.91 (.76 to .99)

80%

.85 (.62 to 1)

.93 (.78 to 1)

.96 (.80 to 1)

.95 (.78 to 1)


Baker and Kramer BMC Bioinformatics 2006 7:407   doi:10.1186/1471-2105-7-407

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