get_auroc {SC3} | R Documentation

## Calculate the area under the ROC curve for a given gene.

### Description

For a given gene a binary classifier is constructed based on the mean cluster expression values (these are calculated using the cell labels). The classifier prediction is then calculated using the gene expression ranks. The area under the receiver operating characteristic (ROC) curve is used to quantify the accuracy of the prediction. A `p-value` is assigned to each gene by using the Wilcoxon signed rank test.

### Usage

    get_auroc(gene, labels)

### Arguments

`gene` | expression data of a given gene
`labels` | cell labels correspodning to the expression values of the gene

[Package SC3 version 1.8.0 Index]