Scds: computational annotation of doublets in single-cell RNA sequencing data.

ABSTRACT:

Motivation

Single-cell RNA sequencing (scRNA-seq) technologies enable the study of transcriptional heterogeneity at the resolution of individual cells and have an increasing impact on biomedical research. However, it is known that these methods sometimes wrongly consider two or more cells as single cells, and that a number of so-called doublets is present in the output of such experiments. Treating doublets as single cells in downstream analyses can severely bias a study's conclusions, and therefore computational strategies for the identification of doublets are needed.

Results

With scds, we propose two new approaches for in silico doublet identification: Co-expression based doublet scoring (cxds) and binary classification based doublet scoring (bcds). The co-expression base

SUBMITTER: Bais AS 

PROVIDER: S-EPMC7703774 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature