A comparison of data integration methods for single-cell RNA sequencing of cancer samples
Laura M. Richards, Mazdak Riverin, Suluxan Mohanraj, Shamini Ayyadhury, Danielle C. Croucher, J. Javier Díaz-Mejía, Fiona J. Coutinho, Peter B. Dirks, Trevor J. Pugh
This study compares five data integration methods for single-cell RNA sequencing of cancer samples, finding STACAS and fastMNN most effective in correcting batch effects while preserving biological variability.
bioRxiv · Aug 4, 2021 · PreprintBioinformatics