Approximate distance correlation for selecting highly interrelated genes across datasets
Fig 1
Single-cell gene expression data are used as an example to illustrate ADC. X and Y are data matrices with matched genes as the inputs of ADC. For each target gene, ADC selects k genes having the highest Pearson correlation coefficient with the target one to calculate the p value of DC. After that, ADC performs the BH adjustment to control the FDR and outputs the most highly interrelated genes.