R: Compute and Visualize Bivariate Associations

# Compute and Visualize Bivariate Associations

## Documentation for package ‘MVisAGe’ version 0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

cn.mat | DNA copy number data from 98 head and neck squamous cell carcinoma (HNSC) patients
cn.region.heatmap | A Function for Creating a Heatmap of DNA Copy Number Data
corr.compute | A Function for Computing a Vector of Pearson Correlation Coefficients
corr.list.compute | A Function for Creating a List of Pearson Correlation Coefficients
data.prep | A Function for Preparing mRNAseq and Copy Number Data Matrices
exp.mat | Gene expression data from 100 head and neck squamous cell carcinoma (HNSC) patients
gene.annot | Gene annotation data (hg38)
perm.significance | A Function for Computing a Vector of Pearson Correlation Coefficients
perm.significance.list.compute | A Function for Creating a List of Pearson Correlation Coefficients
sample.annot | Sample annotation data
smooth.genome.plot | A Function for Plotting Smoothed Pearson Correlation Coefficients Across Multiple Chromosomes
smooth.region.plot | A Function for Plotting Smoothed Pearson Correlation Coefficients Genomewide
tcga.cn.convert | A Function for Reformatting TCGA DNA Copy Number Matrices
tcga.exp.convert | A Function for Reformatting TCGA mRNA Expression Matrices
unsmooth.region.plot | A Function for Plotting Pearson Correlation Coefficients in a Given Genomic Region