Table 1 |
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|
Q-values for True Positives |
|||||||||
|
Original |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|
|
|
|||||||||
|
546_at |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
<0.01 |
0.01 |
|
36311_at |
<0.01 |
0.02 |
0.02 |
0.03 |
<0.01 |
<0.01 |
0.02 |
0.04 |
0.01 |
|
36889_at |
<0.01 |
<0.01 |
0.03 |
0.03 |
<0.01 |
0.02 |
0.06 |
0.04 |
0.02 |
|
1091_at |
<0.01 |
0.02 |
0.02 |
0.03 |
<0.01 |
0.01 |
0.02 |
0.02 |
0.01 |
|
39058_at |
<0.01 |
0.02 |
0.02 |
0.03 |
<0.01 |
0.01 |
0.02 |
0.04 |
0.02 |
|
1024_at |
<0.01 |
0.05 |
0.05 |
0.04 |
<0.01 |
0.02 |
0.1 |
0.1 |
0.02 |
|
37777_at |
0.02 |
0.07 |
0.17 |
0.09 |
<0.01 |
0.1 |
0.31 |
0.42 |
0.04 |
|
684_at |
0.02 |
0.08 |
0.13 |
0.09 |
<0.01 |
0.1 |
0.11 |
0.13 |
0.06 |
|
33818_at |
0.08 |
0.11 |
0.24 |
0.49 |
<0.01 |
0.85 |
0.84 |
0.85 |
0.75 |
|
407_at |
0.39 |
0.58 |
0.64 |
0.67 |
0.14 |
0.85 |
0.84 |
0.64 |
0.76 |
|
36202)_at |
0.52 |
0.58 |
0.64 |
0.67 |
<0.01 |
0.85 |
0.84 |
0.85 |
0.76 |
|
1597_at |
0.75 |
0.58 |
0.64 |
0.67 |
0.73 |
0.85 |
0.84 |
0.85 |
0.76 |
|
38734_at |
0.75 |
0.58 |
0.64 |
0.67 |
0.46 |
0.85 |
0.84 |
0.85 |
0.76 |
|
36085_at |
0.75 |
0.58 |
0.64 |
0.67 |
0.46 |
0.85 |
0.84 |
0.85 |
0.76 |
|
40322_at |
0.75 |
0.58 |
0.64 |
0.67 |
0.46 |
0.85 |
0.84 |
0.85 |
0.76 |
|
1708_at |
0.75 |
0.58 |
0.64 |
0.67 |
0.61 |
0.85 |
0.84 |
0.85 |
0.76 |
|
|
|||||||||
|
The q-values for each of the 16 spiked in probesets using all 8 arrays (Column 1) and with each of the 8 arrays removed (Columns 2-9). A q-value < 0.01 denotes a probeset correctly identified as differentially expressed. Removing the poor quality array (4) decreases the q-values, while removing the other good quality arrays increases the q-values. |
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|
McCall et al. BMC Bioinformatics 2011 12:137 doi:10.1186/1471-2105-12-137 |
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