netSmooth
Network smoothing for scRNAseq
Bioconductor version: 3.24 · Package version: 1.33.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("netSmooth") Details
| Maintainer | Jonathan Ronen <yablee@gmail.com> |
| Author | Jonathan Ronen [aut, cre], Altuna Akalin [aut] |
| License | GPL-3 |
| URL | https://github.com/BIMSBbioinfo/netSmooth |
| Bug Reports | https://github.com/BIMSBbioinfo/netSmooth/issues |
| Downloads rank | 531 |
| Source branch | devel |
| biocViews | Clustering, DimensionReduction, GeneExpression, GraphAndNetwork, Network, Normalization, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | netSmooth_1.33.0.tar.gz |
| Windows binary (x86_64) | netSmooth_1.33.0.zip |
| macOS binary (arm64) | netSmooth_1.33.0.tgz |
| macOS binary (x86_64) | netSmooth_1.33.0.tgz |
Dependencies
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)
Suggests: knitr, testthat, Rtsne, biomaRt, igraph, STRINGdb, NMI, pheatmap, ggplot2, BiocStyle, rmarkdown, BiocParallel, uwot