Paket: r-bioc-sva (3.38.0-1)

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GNU R Surrogate Variable Analysis

The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways: (1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS), (2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and (3) removing batch effects with known control probes (Leek 2014 biorXiv). Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).

Andra paket besläktade med r-bioc-sva

beror

rekommenderar

föreslår

enhances

dep: r-api-4.0

virtuellt paket som tillhandahålls av r-base-core
dep: r-api-bioc-3.12

virtuellt paket som tillhandahålls av r-bioc-biocgenerics
dep: r-base-core (>= 4.0.3-1)

GNU R core of statistical computation and graphics system
dep: r-bioc-biocparallel

BioConductor facilities for parallel evaluation
dep: r-bioc-edger

Empirical analysis of digital gene expression data in R
dep: r-bioc-genefilter

methods for filtering genes from microarray experiments
dep: r-bioc-limma

linear models for microarray data
dep: r-cran-matrixstats

GNU R methods that apply to rows and columns of a matrix
dep: r-cran-mgcv

GNU R package for multiple parameter smoothing estimation

rec: r-bioc-bladderbatch

GNU R bladder gene expression data illustrating batch effects
rec: r-cran-testthat

GNU R testsuite

sug: r-bioc-biocstyle

standard styles for vignettes and other Bioconductor documents

Hämta r-bioc-sva

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amd64	436,8 kbyte	966,0 kbyte	[filförteckning]
arm64	436,5 kbyte	958,0 kbyte	[filförteckning]
armel	436,5 kbyte	958,0 kbyte	[filförteckning]
armhf	436,3 kbyte	958,0 kbyte	[filförteckning]
i386	436,8 kbyte	966,0 kbyte	[filförteckning]
mips64el	436,8 kbyte	959,0 kbyte	[filförteckning]
mipsel	436,0 kbyte	958,0 kbyte	[filförteckning]
ppc64el	436,7 kbyte	1.018,0 kbyte	[filförteckning]
s390x	436,7 kbyte	958,0 kbyte	[filförteckning]