A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text

A benchmark of batch-effect correction methods for single-cell RNA sequencing data | Genome Biology | Full Text

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

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 c...

Authors:Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh and Jinmiao Chen

Citation:Genome Biology 2020 21:12

Content type:Research

Published on: 16 January 2020

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