[ 源代码： r-bioc-gsva ]
软件包：r-bioc-gsva（1.50.0+ds-1 以及其他的）
r-bioc-gsva 的相关链接
Debian 的资源：
下载源码包 r-bioc-gsva：
- [r-bioc-gsva_1.50.0+ds-1.dsc]
- [r-bioc-gsva_1.50.0+ds.orig.tar.xz]
- [r-bioc-gsva_1.50.0+ds-1.debian.tar.xz]
维护小组：
外部的资源：
- 主页 [bioconductor.org]
相似软件包：
Gene Set Variation Analysis for microarray and RNA-seq data
Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene- set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross- tissue pathway analysis, in a pathway-centric manner.
其他与 r-bioc-gsva 有关的软件包
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- dep: libc6 (>= 2.16) [x32]
- 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 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.2) [hppa]
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.37) [sh4]
- dep: libc6 (>= 2.4) [amd64, armel, armhf, i386, mips64el, ppc64, s390x, sparc64]
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- dep: libc6.1 (>= 2.3.4) [alpha]
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6.1-udeb
- dep: libc6.1 (>= 2.37) [ia64]
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- dep: r-api-4.0
- 本虚包由这些包填实： r-base-core
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- dep: r-api-bioc-3.16 [x32]
- 软件包暂时不可用
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- dep: r-api-bioc-3.18 [除 x32]
- 本虚包由这些包填实： r-bioc-biocgenerics
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- dep: r-base-core (>= 4.2.2.20221110-1) [x32]
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-biobase
- base functions for Bioconductor
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- dep: r-bioc-biocparallel
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- dep: r-bioc-biocsingular
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- dep: r-bioc-delayedarray
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- dep: r-bioc-delayedmatrixstats
- Functions on Rows and Columns of 'DelayedMatrix' Objects
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- dep: r-bioc-gseabase
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- dep: r-bioc-hdf5array
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- dep: r-bioc-iranges
- GNU R low-level containers for storing sets of integer ranges
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- dep: r-bioc-s4vectors
- BioConductor S4 implementation of vectors and lists
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- dep: r-bioc-singlecellexperiment
- S4 Classes for Single Cell Data
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- dep: r-bioc-sparsematrixstats
- BioConductor summary statistics for rows and columns of sparse matrices
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- dep: r-bioc-summarizedexperiment
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- dep: r-cran-matrix (>= 1.5-0)
- GNU R package of classes for dense and sparse matrices
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- rec: r-cran-fastmatch
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- rec: r-cran-runit
- GNU R package providing unit testing framework
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- sug: r-bioc-biocgenerics
- generic functions for Bioconductor
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-edger
- Empirical analysis of digital gene expression data in R
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- sug: r-bioc-genefilter
- methods for filtering genes from microarray experiments
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- sug: r-bioc-limma
- linear models for microarray data
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- sug: r-bioc-org.hs.eg.db
- genome-wide annotation for Human
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- sug: r-cran-data.table
- GNU R extension of Data.frame
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下载 r-bioc-gsva
| 硬件架构 | 版本 | 软件包大小 | 安装后大小 | 文件 |
|---|---|---|---|---|
| alpha （非官方移植版） | 1.50.0+ds-1 | 1,071.4 kB | 1,348.0 kB | [文件列表] |
| amd64 | 1.50.0+ds-1 | 1,071.0 kB | 1,296.0 kB | [文件列表] |
| arm64 | 1.50.0+ds-1 | 1,076.9 kB | 1,348.0 kB | [文件列表] |
| armel | 1.50.0+ds-1 | 1,071.8 kB | 1,295.0 kB | [文件列表] |
| armhf | 1.50.0+ds-1 | 1,070.2 kB | 1,291.0 kB | [文件列表] |
| hppa （非官方移植版） | 1.50.0+ds-1 | 1,071.2 kB | 1,291.0 kB | [文件列表] |
| i386 | 1.50.0+ds-1 | 1,071.4 kB | 1,295.0 kB | [文件列表] |
| ia64 （非官方移植版） | 1.50.0+ds-1 | 1,072.1 kB | 1,298.0 kB | [文件列表] |
| mips64el | 1.50.0+ds-1 | 1,078.0 kB | 1,348.0 kB | [文件列表] |
| ppc64 （非官方移植版） | 1.50.0+ds-1 | 1,072.3 kB | 1,348.0 kB | [文件列表] |
| ppc64el | 1.50.0+ds-1 | 1,072.2 kB | 1,348.0 kB | [文件列表] |
| riscv64 | 1.50.0+ds-1+b1 | 1,077.9 kB | 1,305.0 kB | [文件列表] |
| s390x | 1.50.0+ds-1 | 1,071.4 kB | 1,296.0 kB | [文件列表] |
| sh4 （非官方移植版） | 1.50.0+ds-1 | 1,070.9 kB | 1,347.0 kB | [文件列表] |
| sparc64 （非官方移植版） | 1.50.0+ds-1 | 1,071.1 kB | 2,309.0 kB | [文件列表] |
| x32 （非官方移植版） | 1.46.0+ds-1 | 781.0 kB | 911.0 kB | [文件列表] |