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Balík: r-cran-rsgcc (1.0.6-2)

Gini correlation and clustering of gene expression data

This package provides functions for calculating associations between two genes with five correlation methods(e.g., the Gini correlation coefficient [GCC], the Pearson's product moment correlation coefficient [PCC], the Kendall tau rank correlation coefficient [KCC], the Spearman's rank correlation coefficient [SCC] and the Tukey's biweight correlation coefficient [BiWt], and three non-correlation methods (e.g., mutual information [MI] and the maximal information-based nonparametric exploration [MINE], and the euclidean distance [ED]). It can also been implemented to perform the correlation and clustering analysis of transcriptomic data profiled by microarray and RNA-Seq technologies. Additionally, this package can be further applied to construct gene co-expression networks (GCNs).

Ostatné balíky súvisiace s balíkom r-cran-rsgcc

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  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    tiež virtuálny balík poskytovaný balíkom libc6-udeb
  • dep: libgomp1 (>= 6)
    GCC OpenMP (GOMP) support library
  • dep: r-api-3.5
    virtuálny balík poskytovaný balíkom r-base-core
  • dep: r-base-core (>= 3.6.3-2)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-biwt
    biweight mean vector and covariance and correlation
  • dep: r-cran-cairodevice
    GNU R Cairo/Gtk2 device driver package
  • dep: r-cran-fbasics
    GNU R package for financial engineering -- fBasics
  • dep: r-cran-gplots
    GNU R package with tools for plotting data by Greg Warnes et al
  • dep: r-cran-gwidgets
    gWidgets API for Toolkit-Independent, Interactive GUIs
  • dep: r-cran-gwidgetsrgtk2
    Toolkit Implementation of gWidgets for RGtk2
  • dep: r-cran-minerva
    Maximal Information-Based Nonparametric Exploration
  • dep: r-cran-parmigene
    Parallel Mutual Information to establish Gene Networks
  • dep: r-cran-snowfall
    GNU R easier cluster computing (based on snow)
  • dep: r-cran-stringr
    Make it easier to work with strings
  • sug: r-bioc-ctc
    Cluster and Tree Conversion
  • sug: r-cran-bigmemory
    Manage Massive Matrices with Shared Memory and Memory-Mapped Files

Stiahnuť r-cran-rsgcc

Stiahnuť pre všetky dostupné architektúry
Architektúra Veľkosť balíka Nainštalovaná veľkosť Súbory
amd64 173.2 kB246 kB [zoznam súborov]
armhf 171.5 kB237 kB [zoznam súborov]