Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data.

ABSTRACT: High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by doublet rate problems that disturb the downstream analysis. Several computational approaches have been developed to detect doublets. However, most of these methods may yield satisfactory performance in some datasets but lack stability in others; thus, it is difficult to regard a single method as the gold standard which can be applied to all types of scenarios. It is a difficult and time-consuming task for researchers to choose the most appropriate software. We here propose Chord which implements a machine learning algorithm that integrates multiple doublet detection methods to address these issues. Chord had higher accuracy and stability than the individual approaches on different datasets

SUBMITTER: Xiong KX 

PROVIDER: S-EPMC9151659 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature