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spack.io : r-vsn
Variance stabilization and calibration for microarray data. 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 stabilizing data transformation. Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
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purl: pkg:spack/r-vsn
License: Other
Latest release: about 2 years ago
First release: about 2 years ago
Dependent packages: 1
Last synced: 15 days ago