Package: netSmooth 1.27.0

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_1.27.0.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)

networkgraphandnetworksinglecellrnaseqgeneexpressionsequencingtranscriptomicsnormalizationpreprocessingclusteringdimensionreductionbioinformaticsgenomicssingle-cell

7.41 score 27 stars 4 scripts 212 downloads 8 mentions 3 exports 166 dependencies

Last updated 23 days agofrom:4d3aa762ad. Checks:OK: 1 NOTE: 5 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macERROROct 31 2024

Exports:netSmoothpickDimReductionrobustClusters

Dependencies:abindade4annotateAnnotationDbiapeaskpassassortheadbeachmatbeeswarmbenchmarkmebenchmarkmeDataBHBiobaseBiocGenericsBiocManagerBiocNeighborsBiocParallelBiocSingularBiostringsbitbit64blobcachemCairocliclusterclusterExperimentClusterRcodetoolscolorspacecpp11crayoncurldata.tableDBIDelayedArraydigestdoParalleldplyrdqrngedgeRentropyfansifarverfastmapFNNforeachformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggplot2ggrastrggrepelgluegmpgridBasegridExtragtableHDF5ArrayhmshttrIRangesirlbaisobanditeratorsjsonliteKEGGRESTkernlablabelinglambda.rlatticelifecyclelimmalocfdrlocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmbkmeansmemoisemgcvmimemunsellnlmeNMFopensslpheatmapphylobasepillarpixmappkgconfigplogrplyrpngpracmaprettyunitsprogresspurrrR6raggRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppMLRcppProgressregistryreshape2rhdf5rhdf5filtersRhdf5librlangrnclRNeXMLrngtoolsRSpectraRSQLitersvdRtsneS4ArraysS4VectorsScaledMatrixscalesscaterscuttleSingleCellExperimentsitmosnowsoftImputespSparseArraystatmodstringistringrSummarizedExperimentsurvivalsyssystemfontstextshapingtibbletidyrtidyselectUCSC.utilsutf8uuiduwotvctrsviporviridisviridisLitewithrXMLxml2xtableXVectorzinbwavezlibbioc

Building PPIs from StringDB

Rendered frombuildingPPIsFromStringDB.Rmdusingknitr::rmarkdownon Oct 30 2024.

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

Introduction to netSmooth package

Rendered fromnetSmoothIntro.Rmdusingknitr::rmarkdownon Oct 30 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