scNPF is a R package for pre-processing of sing le-cell RNA-seq data by leveraging the context-specific topology inherent in the given data and the network information from priori gene-gene interaction networks. scNPF consists of two modules, including scNPF-propagation for imputing dropouts based on random walk with restart (RWR) and scNPF-fucion for fusing multiple smoothed expression matrices to a cell-cell similarity matrix. scNPF is highly integrative and flexible in that the two modules are independent but interconnected. scNPF can be used as a general and flexible pre-processing step prior to downstream analyses of scRNA-seq data for recovering gene expression lost, correcting gene expression measurements, and learning similarities between cells.
Package details |
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Maintainer | Wenbin Ye <nikou123456@163.com> |
License | GPL (>= 2) |
Version | 0.1.0 |
URL | https://github.com/BMILAB/scNPF |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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