This function allows users to visualize the distributions of (assumed) signal and background, conditional on expression levels. The predicted signals are defined by the 0.1% highest correlations in each bin.
plot_signal_condition_exp(cor_mat, ave_exp, signal)
Matrix, correlation matrix, generated by gene expression matrix
Vector, average expression level of each gene for the normalized expression matrix
a value between 0 and 1 giving the fraction of
correlations which should be considered signal. We often use a value
Invoked for the side effect of producing a plot.
The mnemonic for
condition_exp is ‘conditional on
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