The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance ...
Latest Versions
18 versions →| Version | Vulnerabilities | Usages | Date | |
|---|---|---|---|---|
3.48.x | 3.48.1-b4 |
9
| Apr 29, 2022 | |
| 3.48.1-b3 |
2
| Apr 29, 2022 | ||
| 3.48.1-b1 |
3
| Apr 29, 2022 | ||
3.47.x | 3.47.1-b1 |
12
| Apr 29, 2022 | |
| 3.47.0-b1 |
5
| Apr 29, 2022 | ||
3.44.x | 3.44.0-b4 |
5
| Apr 29, 2022 | |
| 3.44.0-b3 |
3
| Apr 29, 2022 | ||
| 3.44.0-b2 |
1
| Apr 29, 2022 | ||
3.40.x | 3.40.0-b18 |
0
| Apr 29, 2022 | |
| 3.40.0-b17 |
1
| Apr 29, 2022 | ||
| 3.40.0-b13 |
0
| Apr 29, 2022 | ||
3.38.x | 3.38.0-b23 |
1
| Apr 29, 2022 | |
3.36.x | 3.36.0-b22 |
1
| Apr 29, 2022 |
