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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]
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 16 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-05-28 08:17), 0.2.0 (2017-08-28 23:13)
Other packages that cited MVisAGe R package
View MVisAGe citation profile
Other R packages that MVisAGe depends, imports, suggests or enhances
Complete documentation for MVisAGe
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