plot_IQR_condition_exp {spqn} | R Documentation |
The get_IQR_condition_exp
function computes the IQRs of a set
of 10 by 10 same-size bins that partition the correlation matrix,
ordered according to expression level.
The plot_IQR_condition_exp
function plots the IQR for each bin
among a set of 10 by 10 same-size bins that partition the correlation
matrix, with IQR denoted by the width of boxes in the plot.
get_IQR_condition_exp(cor_mat, ave_exp) plot_IQR_condition_exp(IQR_list)
cor_mat |
correlation matrix, generated by gene expression matrix, with genes sorted by average expression levels. |
ave_exp |
vector, average expression level of each gene for the normalized gene expression matrix. |
IQR_list |
List, output of |
A plot with boxes that shows the IQR of each bin
The mnemonic for condition_exp
is ‘conditional on
expression’.
if(require(spqnData)) { data(gtex.4k) cor_mat <- cor(t(assay(gtex.4k))) ave_logrpkm <- rowData(gtex.4k)$ave_logrpkm IQR_list <- get_IQR_condition_exp(cor_mat, ave_exp = ave_logrpkm) plot_IQR_condition_exp(IQR_list) }