Lab. | Accuracy ILM | Accuracy RMA | rmse ILM | Offset ILM (p-value) |
|---|
1 | 1.07 | 0.62 | 0.42 | -0.07 (0.59) |
2 | 1.05 | 0.64 | 0.60 | -0.08 (0.49) |
3 | 0.89 | 0.66 | 0.62 | -0.23 (0.14) |
4 | 0.84 | 0.59 | 0.62 | -0.10 (0.28) |
5 | 0.95 | 0.58 | 0.46 | -0.07 (0.48) |
- Comparison of accuracies of the Inverse Langmuir Method and Robust Multi Array algorithm for the experimental data of Ref. [2]. The accuracy is the slope of the regression line as shown in Fig. 1, which has zero intercept. The accuracy for the RMA is taken from Ref. [2]. The fourth column reports the RMSE in the log2 fold changes between the ILM and RT-PCR data. As a check for possible biases in the ILM, we repeated the linear regression, this time allowing for intercepts. The resulting values for these intercepts are reported in column 5. The same column also reports the p-values on the intercept, which show these intercepts are not statistically significant.
