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bioRxiv · 10.1101/671180

Surface protein imputation from single cell transcriptomes by deep neural networks

Zhou, Z.·Wang, J.·Ye, C.·Zhang, N.
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Abstract

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.

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Zhou, Z., Wang, J., Ye, C., Zhang, N.. 2019-06-14. Surface protein imputation from single cell transcriptomes by deep neural networks. https://doi.org/10.1101/671180

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