Package: netSmooth 1.25.0

Jonathan Ronen

netSmooth: Network smoothing for scRNAseq

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.

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

netSmooth_1.25.0.tar.gz
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netSmooth.pdf |netSmooth.html
netSmooth/json (API)

# Install 'netSmooth' in R:
install.packages('netSmooth', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bimsbbioinfo/netsmooth/issues

Datasets:
  • human.ppi - Human Protein-Protein interaction graph
  • mouse.ppi - Mouse Protein-Protein interaction graph
  • smallPPI - A small human Protein-Protein interaction graph for use in examples.
  • smallscRNAseq - A small single cell RNA-seq dataset for use in examples.

On BioConductor:netSmooth-1.25.0(bioc 3.20)netSmooth-1.24.0(bioc 3.19)

bioconductor-package

3 exports 1.00 score 168 dependencies 8 mentions

Last updated 2 months agofrom:ee9993b715

Exports:netSmoothpickDimReductionrobustClusters

Dependencies:abindade4annotateAnnotationDbiapeaskpassbeachmatbeeswarmbenchmarkmebenchmarkmeDataBHBiobaseBiocGenericsBiocManagerBiocNeighborsBiocParallelBiocSingularBiostringsbitbit64blobcachemCairocliclusterclusterExperimentClusterRcodetoolscolorspacecpp11crayoncurldata.tableDBIDelayedArrayDelayedMatrixStatsdigestdoParalleldplyrdqrngedgeRentropyfansifarverfastmapFNNforeachformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggplot2ggrastrggrepelgluegmpgridBasegridExtragtableHDF5ArrayhmshttrIRangesirlbaisobanditeratorsjsonliteKEGGRESTkernlablabelinglambda.rlatticelifecyclelimmalocfdrlocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmbkmeansmemoisemgcvmimemunsellnlmeNMFopensslpheatmapphylobasepillarpixmappkgconfigplogrplyrpngpracmaprettyunitsprogresspurrrR6raggRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppMLRcppProgressregistryreshape2rhdf5rhdf5filtersRhdf5librlangrnclRNeXMLrngtoolsRSpectraRSQLitersvdRtsneS4ArraysS4VectorsScaledMatrixscalesscaterscuttleSingleCellExperimentsitmosnowsoftImputespSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsyssystemfontstextshapingtibbletidyrtidyselectUCSC.utilsutf8uuiduwotvctrsviporviridisviridisLitewithrXMLxml2xtableXVectorzinbwavezlibbioc

Building PPIs from StringDB

Rendered frombuildingPPIsFromStringDB.Rmdusingknitr::rmarkdownon Jun 18 2024.

Last update: 2019-10-23
Started: 2018-01-31

Introduction to netSmooth package

Rendered fromnetSmoothIntro.Rmdusingknitr::rmarkdownon Jun 18 2024.

Last update: 2019-12-16
Started: 2017-12-11

Readme and manuals

Help Manual

Help pageTopics
Human Protein-Protein interaction graphhuman.ppi
Mouse Protein-Protein interaction graphmouse.ppi
Perform network smoothing of gene expression or other omics datanetSmooth netSmooth,DelayedMatrix-method netSmooth,Matrix-method netSmooth,matrix-method netSmooth,SingleCellExperiment-method netSmooth,SummarizedExperiment-method
Pick the dimensionality reduction method for a dataset that gives the 2D embedding with the highest entropypickDimReduction pickDimReduction,DelayedMatrix-method pickDimReduction,Matrix-method pickDimReduction,matrix-method pickDimReduction,SummarizedExperiment-method
Perform robust clustering on dataset, and calculate the proportion of samples in robust clustersrobustClusters robustClusters,matrix-method robustClusters,SummarizedExperiment-method
A small human Protein-Protein interaction graph for use in examples.smallPPI
A small single cell RNA-seq dataset for use in examples.smallscRNAseq