Addressing the mean-correlation relationship in co-expression analysis
Fig 12
Mean-correlation in a differential setting.
Data in (a,b): 100 samples were randomly selected from each of 3 GTEx tissues (adipose subcutaneous, adrenal gland and artery tibial) for a total of 300 samples. We removed 4 principal components from the resulting correlation matrix. Data in (c,d): bulk RNA-seq of a time course experiment on drosophila embryonic development with 30 samples. We removed 5 principal components from the resulting correlation matrix. (a) Densities of the Pearson correlation between gene pairs stratified by overall expression, for the GTEx data. (b) The relationship between IQRs of the Pearson correlations between all genes in a submatrix (y-axis), and the minimum between the average expression level of the two bins associated with the submatrix (x-axis), for the GTEx data. (c) Like (a), but for the drosophila data. (d) Like (b), but for the drosophila data.