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This is the development version of netSmooth; for the stable release version, see netSmooth.

Network smoothing for scRNAseq

Bioconductor version: Development (3.19)

netSmooth is an R package for network smoothing of single cell RNA sequencing data. Using bio networks such as protein-protein interactions as priors for gene co-expression, netsmooth improves cell type identification from noisy, sparse scRNAseq data.

Author: Jonathan Ronen [aut, cre], Altuna Akalin [aut]

Maintainer: Jonathan Ronen <yablee at>

Citation (from within R, enter citation("netSmooth")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


Reference Manual PDF


biocViews Clustering, DimensionReduction, GeneExpression, GraphAndNetwork, Network, Normalization, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.23.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-3
Depends R (>= 3.5), scater(>= 1.15.11), clusterExperiment(>= 2.1.6)
Imports entropy, SummarizedExperiment, SingleCellExperiment, Matrix, cluster, data.table, stats, methods, DelayedArray, HDF5Array(>= 1.15.13)
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Suggests knitr, testthat, Rtsne, biomaRt, igraph, STRINGdb, NMI, pheatmap, ggplot2, BiocStyle, rmarkdown, BiocParallel, uwot
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