PT  - JOURNAL ARTICLE
AU  - Zilu Zhou
AU  - Chengzhong Ye
AU  - Jingshu Wang
AU  - Nancy R. Zhang
TI  - Surface protein imputation from single cell transcriptomes by deep neural networks
AID  - 10.1101/671180
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 671180
4099  - http://biorxiv.org/content/early/2019/11/02/671180.short
4100  - http://biorxiv.org/content/early/2019/11/02/671180.full
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.