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MVisAGe  

Compute and Visualize Bivariate Associations
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]
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 26 Aug. 2026.
Previous versions and publish date:
0.1.0 (2017-05-28 08:17), 0.2.0 (2017-08-28 23:13), (2026-07-09 08:09)
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Complete documentation for MVisAGe
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