zhouzilu/cTPnet: Single cell Transcriptome to Protein prediction with deep neural network (cTP-net)
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.
Getting started
Browse package contents
Package details |
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| Author | Zilu Zhou (zhouzilu@pennmedicine.upenn.edu), Nancy R. Zhang (nzh@wharton.upenn.edu) |
| Maintainer | Zilu Zhou <zhouzilu@pennmedicine.upenn.edu> |
| License | GPL-3 |
| Version | 1.0.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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