get_auroc: Calculate the area under the ROC curve for a given gene.

In brickyyyy/MinimizedSC3: Minimized Single-Cell Consensus Clustering

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

brickyyyy/MinimizedSC3 documentation built on May 23, 2019, 1:45 p.m.