A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics

Lakkis, J., Wang, D., Zhang, Y., Hu, G., Wang, K., Pan, H., Ungar, L., Reilly, M. P., Li, X., & Li, M. (2021). A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics. Genome Research, 31(10), 1753–1766. https://doi.org/10.1101/gr.271874.120

Authors:

Justin Lakkis