MVisAGe: Compute and Visualize Bivariate Associations
Version 0.2.0

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.

Getting started

Package details

AuthorVonn Walter [aut, cre]
Date of publication2017-08-28 21:13:00 UTC
MaintainerVonn Walter <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the MVisAGe package in your browser

Any scripts or data that you put into this service are public.

MVisAGe documentation built on Aug. 29, 2017, 1:03 a.m.