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MVisAGe
View on CRAN: Click
here
Download and install MVisAGe package within the R console
Install from CRAN:
install.packages("MVisAGe")
Install from Github:
library("remotes")
install_github("cran/MVisAGe") Install by package version:
library("remotes")
install_version("MVisAGe", "0.2.1") Attach the package and use:
library("MVisAGe")
Maintained by
Vonn Walter
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-28
Latest Update: 2018-05-10
Description:
Pearson and Spearman correlation coefficients are commonly used to quantify the strength
of bivariate associations of genomic variables. For example, correlations of gene-level
DNA copy number and gene expression measurements may be used to assess the impact of
DNA copy number changes on gene expression in tumor tissue. 'MVisAGe' enables users to
quickly compute and visualize the correlations in order to assess the effect of regional
genomic events such as changes in DNA copy number or DNA methylation level. Please see
Walter V, Du Y, Danilova L, Hayward MC, Hayes DN, 2018. Cancer Research
.
How to cite:
Vonn Walter (2017). MVisAGe: Compute and Visualize Bivariate Associations. R package version 0.2.1, https://cran.r-project.org/web/packages/MVisAGe. Accessed 15 Jul. 2026.
Previous versions and publish date:
Other packages that cited MVisAGe R package
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Other R packages that MVisAGe depends,
imports, suggests or enhances
Complete documentation for MVisAGe
Functions, R codes and Examples using
the MVisAGe R package
Some associated functions: cn.mat . cn.region.heatmap . corr.compute . corr.list.compute . data.prep . exp.mat . gene.annot . perm.significance.list.compute . perm.significance . sample.annot . smooth.genome.plot . smooth.region.plot . tcga.cn.convert . tcga.exp.convert . unsmooth.region.plot .
Some associated R codes: cn.mat.R . cn.region.heatmap.R . corr.compute.R . corr.list.compute.R . data.prep.R . exp.mat.R . gene.annot.R . mVisAGe-data.R . perm.significance.R . perm.significance.list.compute.R . sample.annot.R . smooth.genome.plot.R . smooth.region.plot.R . tcga.cn.convert.R . tcga.exp.convert.R . unsmooth.region.plot.R . Full MVisAGe package functions and examples
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