Surface protein imputation from single cell transcriptomes by deep neural networks
Zilu Zhou,
Chengzhong Ye,
Jingshu Wang and
Nancy R. Zhang ()
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Zilu Zhou: University of Pennsylvania
Chengzhong Ye: Tsinghua University
Jingshu Wang: The University of Chicago
Nancy R. Zhang: University of Pennsylvania
Nature Communications, 2020, vol. 11, issue 1, 1-10
Abstract:
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.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14391-0
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DOI: 10.1038/s41467-020-14391-0
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