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R (Rcpp) implementation for the K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

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knnsmootheR

This is the R implementation of the k-nearest neighbors smoothing algorithm (Wagner et al., 2017) for UMI-filtered single- cell RNA-Seq data.

Installation

Install the package knnsmoother by using devtools is highly suggested. Run the following commands in a R console to install the package.

install.packages("devtools")
devtools::install_github('yanailab/knn-smoothing', subdir = 'knnsmoother')

Trouble-shooting

https://github.com/yanailab/knn-smoothing/issues?q=label%3AR

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R (Rcpp) implementation for the K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

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