Пакунок: r-bioc-sva (3.38.0-1)
Links for r-bioc-sva
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Download Source Package r-bioc-sva:
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External Resources:
- Homepage [bioconductor.org]
Similar packages:
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).
Інші пакунки пов'язані з r-bioc-sva
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- dep: r-api-4.0
- virtual package provided by r-base-core
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- dep: r-api-bioc-3.12
- virtual package provided by r-bioc-biocgenerics
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-biocparallel
- BioConductor facilities for parallel evaluation
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- dep: r-bioc-edger
- Empirical analysis of digital gene expression data in R
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- dep: r-bioc-genefilter
- methods for filtering genes from microarray experiments
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- dep: r-bioc-limma
- linear models for microarray data
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- dep: r-cran-matrixstats
- GNU R methods that apply to rows and columns of a matrix
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- dep: r-cran-mgcv
- GNU R package for multiple parameter smoothing estimation
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- rec: r-bioc-bladderbatch
- GNU R bladder gene expression data illustrating batch effects
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
Завантажити r-bioc-sva
| Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
|---|---|---|---|
| amd64 | 436.8 kB | 966.0 kB | [список файлів] |