This is the released version of scone; for the devel version, see scone.
Single Cell Overview of Normalized Expression dataBioconductor version: Release (3.21)
SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.
Author: Michael Cole [aut, cph], Davide Risso [aut, cre, cph], Matteo Borella [ctb], Chiara Romualdi [ctb]
Maintainer: Davide Risso <risso.davide at gmail.com>
Citation (from within R, entercitation("scone")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scone")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scone")
Details biocViews Coverage, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics Version 1.32.1 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License Artistic-2.0 Depends R (>= 3.4), methods, SummarizedExperiment Imports graphics, stats, utils, aroma.light, BiocParallel, class, cluster, compositions, diptest, edgeR, fpc, gplots, grDevices, hexbin, limma, matrixStats, mixtools, RColorBrewer, boot, rhdf5, RUVSeq, rARPACK, MatrixGenerics, SingleCellExperiment, DelayedMatrixStats, sparseMatrixStats, SparseArray(>= 1.7.6) System Requirements URL Bug Reports https://github.com/YosefLab/scone/issues See More Suggests BiocStyle, DT, ggplot2, knitr, miniUI, NMF, plotly, reshape2, rmarkdown, scran, scRNAseq, shiny, testthat, DelayedArray, visNetwork, doParallel, batchtools, splatter, scater, kableExtra, mclust, TENxPBMCData Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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