RT Journal Article
SR Electronic
T1 Surface protein imputation from single cell transcriptomes by deep neural networks
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 671180
DO 10.1101/671180
A1 Zilu Zhou
A1 Chengzhong Ye
A1 Jingshu Wang
A1 Nancy R. Zhang
YR 2019
UL http://biorxiv.org/content/early/2019/06/14/671180.abstract
AB While single cell RNA sequencing (scRNA-seq) is invaluable for studying cell populations, cell-surface proteins are often integral markers of cellular function and serve as primary targets for therapeutic intervention. Here we propose a transfer learning framework, single cell Transcriptome to Protein prediction with deep neural network (cTP-net), to impute surface protein abundances from scRNA-seq data by learning from existing single-cell multi-omic resources.