A benchmark of batch-effect correction methods for single-cell RNA sequencing data

BACKGROUND: Large-scale single-cell transcriptomic datasets generated using different technologies contain batch-specific systematic variations that present a challenge to batch-effect removal and data integration. With continued growth expected in scRNA-seq data, achieving effective batch integrati... View More