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 →
VersionVulnerabilitiesUsagesDate
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
18 versions →