Table 7.
Method | Data | Diff. expr. | m1 m9 | m2 m8 | m3 m7 | m4 m6 | m1 m6 | m4 m9 | m1 m4 | m6 m9 | m1 m5a | m5a m9 | m1 m5b | m5b m9 | m1 m5c | m5c m9 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MAS 5 1-Step Tukey-Biweight | PM | Student | 0.51 | 0.49 | 0.46 | 0.36 | 0.48 | 0.52 | 0.49 | 0.40 | 0.52 | 0.55 | 0.54 | 0.56 | 0.49 | 0.45 |
Win. t | 0.60 | 0.57 | 0.54 | 0.46 | 0.56 | 0.62 | 0.59 | 0.48 | 0.61 | 0.63 | 0.63 | 0.64 | 0.58 | 0.58 | ||
Reg. t | 0.54 | 0.52 | 0.49 | 0.46 | 0.52 | 0.58 | 0.56 | 0.42 | 0.57 | 0.60 | 0.59 | 0.60 | 0.55 | 0.54 | ||
PM | Student | 0.48 | 0.49 | 0.49 | 0.42 | 0.50 | 0.50 | 0.44 | 0.40 | 0.44 | 0.46 | 0.48 | 0.47 | 0.45 | 0.49 | |
Norm | Win. t | 0.57 | 0.57 | 0.59 | 0.53 | 0.59 | 0.61 | 0.55 | 0.51 | 0.55 | 0.57 | 0.58 | 0.58 | 0.55 | 0.60 | |
Reg. t | 0.50 | 0.51 | 0.56 | 0.53 | 0.54 | 0.58 | 0.52 | 0.47 | 0.52 | 0.55 | 0.55 | 0.56 | 0.49 | 0.59 | ||
Plier | Raw | Student | 0.51 | 0.59 | 0.48 | 0.41 | 0.52 | 0.49 | 0.40 | 0.43 | 0.57 | 0.59 | 0.56 | 0.56 | 0.46 | 0.49 |
Win. t | 0.58 | 0.64 | 0.54 | 0.49 | 0.59 | 0.58 | 0.52 | 0.51 | 0.62 | 0.64 | 0.62 | 0.62 | 0.56 | 0.60 | ||
Reg. t | 0.56 | 0.64 | 0.54 | 0.52 | 0.58 | 0.58 | 0.52 | 0.51 | 0.61 | 0.65 | 0.60 | 0.62 | 0.55 | 0.60 | ||
dChip Li-Wong MBEI | PM | Student | 0.46 | 0.49 | 0.41 | 0.43 | 0.48 | 0.47 | 0.41 | 0.36 | 0.31 | 0.44 | 0.41 | 0.49 | 0.40 | 0.49 |
Norm | Win. t | 0.54 | 0.55 | 0.49 | 0.51 | 0.55 | 0.56 | 0.50 | 0.47 | 0.39 | 0.52 | 0.50 | 0.58 | 0.47 | 0.58 | |
Reg. t | 0.48 | 0.51 | 0.45 | 0.51 | 0.53 | 0.52 | 0.46 | 0.41 | 0.30 | 0.49 | 0.45 | 0.55 | 0.41 | 0.55 | ||
RMA Median-polish | Norm | Student | 0.54 | 0.55 | 0.55 | 0.46 | 0.52 | 0.54 | 0.44 | 0.46 | 0.45 | 0.52 | 0.48 | 0.52 | 0.49 | 0.52 |
Win. t | 0.64 | 0.64 | 0.64 | 0.56 | 0.62 | 0.65 | 0.56 | 0.58 | 0.57 | 0.64 | 0.59 | 0.63 | 0.59 | 0.64 | ||
Reg. t | 0.65 | 0.66 | 0.66 | 0.60 | 0.64 | 0.66 | 0.58 | 0.60 | 0.59 | 0.67 | 0.62 | 0.65 | 0.61 | 0.67 | ||
GCRMA Median-polish | Raw | Student | 0.58 | 0.61 | 0.57 | 0.46 | 0.52 | 0.60 | 0.43 | 0.60 | 0.49 | 0.63 | 0.54 | 0.65 | 0.48 | 0.57 |
Win. t | 0.63 | 0.64 | 0.59 | 0.49 | 0.56 | 0.64 | 0.49 | 0.64 | 0.54 | 0.67 | 0.61 | 0.68 | 0.54 | 0.63 | ||
Reg. t | 0.63 | 0.65 | 0.60 | 0.52 | 0.56 | 0.65 | 0.52 | 0.65 | 0.52 | 0.68 | 0.62 | 0.69 | 0.52 | 0.64 | ||
Norm | Student | 0.50 | 0.49 | 0.48 | 0.46 | 0.49 | 0.51 | 0.47 | 0.51 | 0.47 | 0.50 | 0.48 | 0.51 | 0.47 | 0.49 | |
Win. t | 0.60 | 0.59 | 0.59 | 0.55 | 0.57 | 0.61 | 0.54 | 0.60 | 0.56 | 0.61 | 0.58 | 0.60 | 0.56 | 0.61 | ||
Reg. t | 0.59 | 0.61 | 0.61 | 0.59 | 0.59 | 0.62 | 0.56 | 0.63 | 0.58 | 0.64 | 0.60 | 0.63 | 0.57 | 0.62 |
We compared the results of the differential expression analysis of the Tissue Mixture Study between HG-U133plus2 and Hugene 1.0 ST arrays, using Student t-test, Regularized t-test and Window t-test. Preprocessing was performed with several popular methods. For each combination of preprocessing/analysis steps (rows), and each comparison of mixtures (columns), Pearson's correlation coefficient has been computed on log10(p-values) between both types of arrays. Underlined characters highlight the top 5 correlation coefficients for each column. The best match table provided by Affymetrix has been used to map probesets between the two platforms. Raw/Norm labels refer to raw and normalized data, PM stands for PM-only methods.