A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation

Lakkis, J., Schroeder, A., Su, K., Lee, M. Y. Y., Bashore, A. C., Reilly, M. P., & Li, M. (2022). A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation. Nature Machine Intelligence, 4(11), 940–952. https://doi.org/10.1038/s42256-022-00545-w
Authors:
Justin Lakkis
Amelia Schroeder
Kenong Su
Michelle Y Y Lee
Alexander C Bashore
Muredach P Reilly
Mingyao Li
Affiliated Authors:
Alexander C Bashore
Muredach P Reilly
Author Keywords:
cite-seq
deep learning
protein prediction
single-cell rna-seq
single-cell multi-omics
Publication Type:
Article
Unique ID:
10.1038/s42256-022-00545-w
PMID:
Publication Date:
Data Source:
PubMed

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