软件包：r-bioc-gsva（1.52.3+ds-1）

[ 源代码： r-bioc-gsva  ]

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.

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• dep: libc6 (>= 2.4)

  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: r-api-4.0

  本虚包由这些包填实： r-base-core

• dep: r-api-bioc-3.19

  本虚包由这些包填实： r-bioc-biocgenerics

• dep: r-bioc-biobase (>= 2.64.0)

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• dep: r-bioc-biocparallel (>= 1.38.0)

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• dep: r-bioc-biocsingular (>= 1.20.0)

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• dep: r-bioc-delayedarray (>= 0.30.1)

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• dep: r-bioc-delayedmatrixstats (>= 1.26.0)

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• dep: r-bioc-gseabase (>= 1.66.0)

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• dep: r-bioc-hdf5array (>= 1.32.0)

  HDF5 backend for DelayedArray objects

• dep: r-bioc-iranges (>= 2.38.1)

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• dep: r-bioc-s4vectors (>= 0.42.1)

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• dep: r-bioc-sparsematrixstats (>= 1.16.0)

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• dep: r-bioc-spatialexperiment (>= 1.14.0)

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• dep: r-bioc-summarizedexperiment (>= 1.34.0)

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• dep: r-cran-matrix (>= 1.5-0)

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• sug: r-bioc-biocgenerics (>= 0.50.0)

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• sug: r-bioc-biocstyle (>= 2.32.1)

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• sug: r-bioc-edger (>= 4.2.0)

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• sug: r-bioc-genefilter (>= 1.86.0)

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• sug: r-bioc-gsvadata (>= 1.40.0)

  Data employed in the vignette of the GSVA package

• sug: r-bioc-limma (>= 3.60.3)

  linear models for microarray data

• sug: r-bioc-org.hs.eg.db (>= 3.19.1-1)

  genome-wide annotation for Human

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硬件架构	软件包大小	安装后大小	文件
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