scMerge

Description

Like all gene expression data, single-cell data suffers from batch effects and other unwanted variations that makes accurate biological interpretations difficult. The scMerge method leverages factor analysis, stably expressed genes (SEGs) and (pseudo-) replicates to remove unwanted variations and merge multiple single-cell data. This package contains all the necessary functions in the scMerge pipeline, including the identification of SEGs, replication-identification methods, and merging of single-cell data.

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Depended on by (3)

People

• Yingxin Lin author maintainer
• Sydney Bioinformatics and Biometrics Group fnd
• Kevin Wang author