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 Zhou, Zilu A1 Ye, Chengzhong A1 Wang, Jingshu A1 Zhang, Nancy R. YR 2019 UL http://biorxiv.org/content/early/2019/11/02/671180.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.