Balík: r-bioc-gsva (2.0.5+ds-1)

[ Zdroj: 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.

Ostatné balíky súvisiace s balíkom r-bioc-gsva

• dep: libc6 (>= 2.14)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-api-bioc-3.20

  virtuálny balík poskytovaný balíkom r-bioc-biocgenerics

• dep: r-bioc-biobase

  base functions for Bioconductor

• dep: r-bioc-biocparallel

  BioConductor facilities for parallel evaluation

• dep: r-bioc-biocsingular

  Singular Value Decomposition for Bioconductor Packages

• dep: r-bioc-delayedarray

  BioConductor delayed operations on array-like objects

• dep: r-bioc-delayedmatrixstats

  Functions on Rows and Columns of 'DelayedMatrix' Objects

• dep: r-bioc-gseabase

  Gene set enrichment data structures and methods

• dep: r-bioc-hdf5array

  HDF5 backend for DelayedArray objects

• dep: r-bioc-iranges

  GNU R low-level containers for storing sets of integer ranges

• dep: r-bioc-s4vectors

  BioConductor S4 implementation of vectors and lists

• dep: r-bioc-singlecellexperiment

  S4 Classes for Single Cell Data

• dep: r-bioc-sparsematrixstats

  BioConductor summary statistics for rows and columns of sparse matrices

• dep: r-bioc-spatialexperiment

  S4 Class for Spatially Resolved -omics Data

• dep: r-bioc-summarizedexperiment

  BioConductor assay container

• dep: r-cran-cli

  GNU R helpers for developing command line interfaces

• dep: r-cran-matrix (>= 1.5-0)

  balík tried GNU R pre husté a riedke matice

• sug: r-bioc-biocgenerics

  generic functions for Bioconductor

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-edger

  Empirical analysis of digital gene expression data in R

• sug: r-bioc-genefilter

  methods for filtering genes from microarray experiments

• sug: r-bioc-gsvadata

  Data employed in the vignette of the GSVA package

• sug: r-bioc-limma

  linear models for microarray data

• sug: r-bioc-org.hs.eg.db

  genome-wide annotation for Human

• sug: r-cran-data.table

  GNU R - rozšírenie Data.frame

• sug: r-cran-future

  R package: A Future API for R

• sug: r-cran-ggplot2

  implementácia Gramatiky grafiky

• sug: r-cran-knitr

  balík GNU R na dynamickú tvorbu zostáv pomocou Literate Programming

• sug: r-cran-plotly

  create interactive web graphics via 'plotly.js' in GNU R

• sug: r-cran-promises

  GNU R abstractions for promise-based asynchronous programming

• sug: r-cran-rcolorbrewer

  balík GNU R poskytujúci vhodné palety farieb

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-runit

  GNU R package providing unit testing framework

• sug: r-cran-shiny

  GNU R - platforma webových aplikácií

• sug: r-cran-shinydashboard

  GNU R create dashboards with 'Shiny'

• sug: r-cran-shinyjs

  Easily Improve the User Experience of Your Shiny Apps in Seconds

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