TITLE: “DoubletCollection: An R package that integrates cutting-edge computational doublet-detection methods.”
ABSTRACT: The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. There are several computational methods for detecting doublets from scRNA-seq data.
We develop an R package DoubletCollection to integrate the installation and execution of those methods. DoubletCollection also provides a unified interface to perform and visualize downstream analysis after doublet detection.
In this talk, we will introduce a protocol of using DoubletCollection to benchmark doublet-detection methods. This protocol can automatically accommodate new doublet-detection methods and datasets in the fast-growing scRNA-seq field.
