Compute and Visualize Bivariate Associations
DNA copy number data from 98 head and neck squamous cell carcinoma (HN...
A Function for Creating a Heatmap of DNA Copy Number Data
A Function for Computing a Vector of Pearson Correlation Coefficients
A Function for Creating a List of Pearson Correlation Coefficients
A Function for Preparing mRNAseq and Copy Number Data Matrices
Gene expression data from 100 head and neck squamous cell carcinoma (H...
Gene annotation data (hg38)
A Function for Creating a List of Pearson Correlation Coefficients
A Function for Computing a Vector of Pearson Correlation Coefficients
Sample annotation data
A Function for Plotting Smoothed Pearson Correlation Coefficients Acro...
A Function for Plotting Smoothed Pearson Correlation Coefficients Geno...
A Function for Reformatting TCGA DNA Copy Number Matrices
A Function for Reformatting TCGA mRNA Expression Matrices
A Function for Plotting Pearson Correlation Coefficients in a Given Ge...
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 <doi:10.1158/0008-5472.CAN-17-3464>.