A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation
A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation
Justin Lakkis,Amelia Schroeder,4 Authors,Mingyao Li
2022 · DOI: 10.1038/s42256-022-00545-w
Nature Machine Intelligence · 70 Citations
TLDR
Comprehensive evaluations spanning multiple datasets demonstrate that sciPENN outperforms other current state-of-the-art methods on computational challenges in CITE-seq and single-cell RNA-seq datasets.