Table 2 |
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|
The leave-one-out cross-validation and prediction errors1 of the last 10 nested probe sets2 using GSFLD. |
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|
No. of probe sets |
Leave-one-out cross-validation error |
Predict error |
Probe set ID (HG_U95Av2) |
|||
|
|
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|
D13 |
D23 |
C3 |
D1→D23 |
D2→D13 |
||
|
|
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|
1 |
2 |
1 |
4 |
1 |
2 |
35868_at |
|
2 |
0 |
0 |
2 |
0 |
1 |
+ 38430_at |
|
3 |
0 |
0 |
1 |
0 |
1 |
+ 36247_f_at |
|
4 |
0 |
0 |
1 |
1 |
1 |
+ 32542_at |
|
5 |
0 |
0 |
1 |
0 |
1 |
+ 39220_at |
|
6 |
1 |
0 |
1 |
1 |
1 |
+ 38299_at |
|
7 |
1 |
0 |
1 |
1 |
1 |
+ 1596_g_at |
|
8 |
1 |
0 |
1 |
1 |
1 |
+ 39350_at |
|
9 |
1 |
0 |
1 |
1 |
1 |
+ 31525_s_at |
|
10 |
0 |
0 |
0 |
1 |
1 |
+ 37407_s_at |
|
|
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|
1: The number of misclassified samples. 2: Sets of genes (probe sets) produced by iteratively removing 10% of the least significant genes at a time. 3: D1: Data set 1; D2: Data set 2; C: Combined data set; D1→D2: use D1 to predict D2; D2→D1: use D2 to predict D1. +: Additional probe set ID plus those identified from lower number probe-set list(s). For example, the 3 probe sets contains 36247_f_at in addition to those (38430_at and 35868_at) identified from the 2 probe sets prediction. |
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|
Jiang et al. BMC Bioinformatics 2004 5:81 doi:10.1186/1471-2105-5-81 |
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