vsn
Variance stabilization and calibration for microarray data
Bioconductor version: 3.23 · Package version: 3.80.0
The package implements a method for normalising microarray intensities from 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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vsn") Details
| Maintainer | Wolfgang Huber <wolfgang.huber@embl.org> |
| Author | Wolfgang Huber [aut, cre], Anja von Heydebreck [aut], Dennis Kostka [ctb], David Kreil [ctb], Hans-Ulrich Klein [ctb], Robert Gentleman [ctb], Deepayan Sarkar [ctb], Gordon Smyth [ctb], Federal Ministry of Research, Technology and Space of Germany, DHGP [fnd] |
| License | Artistic-2.0 |
| URL | https://github.com/Huber-group-EMBL/vsn |
| Bug Reports | https://github.com/Huber-group-EMBL/vsn/issues |
| Downloads rank | 6733 |
| Source branch | RELEASE_3_23 |
| biocViews | Microarray, OneChannel, Preprocessing, Software, TwoChannel |
Documentation
- Introduction to vsn
- Likelihood Calculations for vsn
- Verifying and assessing the performance with simulated data
Download
Dependencies
Depends: R (>= 4.0.0), methods, Biobase
Imports: affy, limma, lattice, ggplot2
Suggests: affydata, hgu95av2cdf, BiocStyle, knitr, rmarkdown, dplyr, testthat, hexbin
Reverse dependencies
Depends On Me (3): protGear, rnaseqGene, webbioc
Imports Me (14): arrayQualityMetrics, autonomics, bnem, Doscheda, ExpressionNormalizationWorkflow, lfproQC, MatrixQCvis, metaseqR2, MSnbase, NormalyzerDE, PRONE, pvca, SmartPhos, tilingArray
Suggests Me (19): adSplit, beadarray, DAPAR, DESeq2, estrogen, flowVS, ggbio, GlobalAncova, globaltest, limma, lumi, MsCoreUtils, PAA, QFeatures, qmtools, ribosomeProfilingQC, scp, twilight, wrMisc