软件包：r-bioc-limma（3.62.1+dfsg-1）

[ 源代码： r-bioc-limma  ]

试制（Experimental）软件包

警告：这个软件包来自于 experimental 发行版。这表示它很有可能表现出不稳定或者出现 bug ，甚至是导致资料损失。请务必在使用之前查阅 changelog 以及其他潜在的文档。

linear models for microarray data

Microarrays are microscopic plates with carefully arranged short DNA strands and/or chemically prepared surfaces to which other DNA preferably binds. The amount of DNA binding at different locations of these chips, typically determined by a fluorescent dye, is to be interpreted. The technology is typically used with DNA that is derived from RNA, i.e to determine the activity of a gene and/or its splice variants. But the technology is also used to determine sequence variations in genomic DNA.

This Bioconductor package supports the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The package includes pre-processing capabilities for two-colour spotted arrays. The differential expression methods apply to all array platforms and treat Affymetrix, single channel and two channel experiments in a unified way.

标签: 生物学: 核酸, 领域: 生物学, field::biology:bioinformatics, implemented-in::r, 用户接口: 命令行, 角色: 程序

其他与 r-bioc-limma 有关的软件包

• dep: libc6 (>= 2.17) [arm64, ppc64el]

  GNU C 语言运行库：共享库
  同时作为一个虚包由这些包填实： libc6-udeb

  dep: libc6 (>= 2.27) [riscv64]

  dep: libc6 (>= 2.4) [除 arm64, ppc64el, riscv64]

• dep: r-api-4.0

  软件包暂时不可用

• dep: r-api-bioc-3.20

  本虚包由这些包填实： r-bioc-biocgenerics

• dep: r-cran-statmod

  GNU R package providing algorithms and functions for statistical modeling

• sug: r-bioc-affy

  BioConductor methods for Affymetrix Oligonucleotide Arrays

• sug: r-bioc-annotationdbi

  GNU R Annotation Database Interface for BioConductor

• sug: r-bioc-biobase

  base functions for Bioconductor

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-go.db

  annotation maps describing the entire Gene Ontology

• sug: r-bioc-org.hs.eg.db

  genome-wide annotation for Human

• sug: r-cran-biasedurn

  GNU R Biased Urn model distributions

• sug: r-cran-ellipse

  GNU R functions for drawing ellipses and ellipse-like confidence regions

• sug: r-cran-gplots

  GNU R package with tools for plotting data by Greg Warnes et al

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-locfit

  GNU R local regression, likelihood and density estimation

• sug: r-cran-mass

  GNU R package of Venables and Ripley's MASS

下载 r-bioc-limma

下载可用于所有硬件架构的

硬件架构	软件包大小	安装后大小	文件
amd64	1,974.6 kB	2,777.0 kB	[文件列表]
arm64	1,974.0 kB	2,821.0 kB	[文件列表]
mips64el	1,974.7 kB	2,821.0 kB	[文件列表]
ppc64 （非官方移植版）	1,975.2 kB	2,819.0 kB	[文件列表]
ppc64el	1,975.7 kB	2,821.0 kB	[文件列表]
riscv64	1,974.4 kB	2,769.0 kB	[文件列表]
s390x	1,975.0 kB	2,773.0 kB	[文件列表]
sparc64 （非官方移植版）	1,973.8 kB	3,782.0 kB	[文件列表]