Balík: r-bioc-gsva (1.50.0+ds-1) [debports]
Odkazy pre r-bioc-gsva
Zdroje Debian:
Stiahnuť zdrojový balík :
NenájdenýSprávcovia:
Externé zdroje:
- Domovská stránka [bioconductor.org]
Podobné balíky:
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
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- dep: libc6.1 (>= 2.37)
- knižnica GNU C - zdieľané knižnice
tiež virtuálny balík poskytovaný balíkom libc6.1-udeb
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- dep: r-api-4.0
- virtuálny balík poskytovaný balíkom r-base-core
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- dep: r-api-bioc-3.18
- Balík nie je dostupný
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- dep: r-bioc-biobase
- base functions for Bioconductor
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- dep: r-bioc-biocparallel
- BioConductor facilities for parallel evaluation
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- dep: r-bioc-biocsingular
- Singular Value Decomposition for Bioconductor Packages
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- dep: r-bioc-delayedarray
- BioConductor delayed operations on array-like objects
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- dep: r-bioc-delayedmatrixstats
- Functions on Rows and Columns of 'DelayedMatrix' Objects
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- dep: r-bioc-gseabase
- Gene set enrichment data structures and methods
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- dep: r-bioc-hdf5array
- HDF5 backend for DelayedArray objects
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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
- BioConductor assay container
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- dep: r-cran-matrix (>= 1.5-0)
- balík tried GNU R pre husté a riedke matice
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- rec: r-cran-fastmatch
- GNU R package for fast match replacement for repeated look-ups
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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 - rozšírenie Data.frame
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- sug: r-cran-future
- R package: A Future API for R
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- sug: r-cran-ggplot2
- implementácia Gramatiky grafiky
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- sug: r-cran-knitr
- balík GNU R na dynamickú tvorbu zostáv pomocou Literate Programming
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- sug: r-cran-plotly
- create interactive web graphics via 'plotly.js' in GNU R
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- sug: r-cran-promises
- GNU R abstractions for promise-based asynchronous programming
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- sug: r-cran-rcolorbrewer
- balík GNU R poskytujúci vhodné palety farieb
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-shiny
- GNU R - platforma webových aplikácií
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- sug: r-cran-shinydashboard
- GNU R create dashboards with 'Shiny'
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- sug: r-cran-shinyjs
- Easily Improve the User Experience of Your Shiny Apps in Seconds
Stiahnuť r-bioc-gsva
Architektúra | Veľkosť balíka | Nainštalovaná veľkosť | Súbory |
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ia64 (neoficiálny port) | 1,072.1 kB | 1,298.0 kB | [zoznam súborov] |