Package: scLang 1.1.3

Andrei-Florian Stoica

scLang: A unified language for interacting with Seurat and SingleCellExperiment

scLang is a suite for package development for scRNA-seq analysis. It offers functions that can operate on both Seurat and SingleCellExperiment objects. These functions are primarily aimed to help developers build tools compatible with both types of input.

Authors:Andrei-Florian Stoica [aut, cre]

scLang_1.1.3.tar.gz
scLang_1.1.3.zip(r-4.7)scLang_1.1.3.zip(r-4.6)scLang_1.1.3.zip(r-4.5)
scLang_1.1.3.tgz(r-4.6-any)scLang_1.1.3.tgz(r-4.5-any)
scLang_1.1.3.tar.gz(r-4.7-any)scLang_1.1.3.tar.gz(r-4.6-any)
scLang_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scLang/json (API)
NEWS

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

Bug tracker:https://github.com/andrei-stoica26/sclang/issues

On BioConductor:scLang-1.1.3(bioc 3.24)scLang-1.0.0(bioc 3.23)

softwaresinglecellgeneexpressionvisualization

5.68 score 2 stars 2 packages 4 scripts 159 downloads 17 exports 94 dependencies

Last updated from:af892fd937. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE282
linux-devel-x86_64OK452
source / vignettesOK424
linux-release-x86_64OK456
macos-release-arm64OK290
macos-oldrel-arm64OK240
windows-develOK1518
windows-releaseOK1581
windows-oldrelOK1321
wasm-releaseOK236

Exports:dimPlotdimredNamesfeaturePlotmetadataDFmetadataNamesscColscCol<-scColCountsscColPairCountsscColPairPercsscColPairRatiosscDimredMatscExpMatscGeneExpscPCAMatscUMAPMatviolinPlot

Dependencies:abdivabindapebase64encBiobaseBiocGenericscachemclassclicodetoolscpp11DelayedArraydigestdotCall64dplyrfarverfastmapfuturefuture.applygenericsGenomicRangesggalluvialggeasyggforceggnewscaleggplot2ggraphggrepelglobalsgluegraphlayoutsgridExtragtablehennaigraphIRangesisobandjsonlitelabelinglatticelazyevallifecyclelistenvlivermagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisenlmepaletteerparallellypillarpkgconfigplyrpolyclipprismaticprogressrpurrrR6RColorBrewerRcppRcppArmadilloRcppEigenrematch2reshape2rlangrstudioapiS4ArraysS4VectorsS7scalesSeqinfoSeuratObjectSingleCellExperimentspspamSparseArraystringistringrSummarizedExperimentsystemfontstibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithrXVector

Introduction to scLang

Andrei-Florian Stoica

Rendered fromscLang.Rmdusingknitr::rmarkdownon Jun 06 2026.

Last update: 2026-05-07
Started: 2025-11-07

Readme and manuals

Help Manual

Help pageTopics
Creates a dimensionality reduction plotdimPlot
Extract the names of available dimensionality reductions from objectdimredNames dimredNames.default dimredNames.Seurat dimredNames.SingleCellExperiment
Create a dimensionality reduction plot to represent a featurefeaturePlot
Extract metadata from object as a data framemetadataDF metadataDF.default metadataDF.Seurat metadataDF.SingleCellExperiment
Return metadata namesmetadataNames
Extract a metadata/coldata column from object.scCol scCol.default scCol.Seurat scCol.SingleCellExperiment scCol<- scCol<-.default scCol<-.Seurat scCol<-.SingleCellExperiment
Extract per-group counts from the column of a single-cell expression objectscColCounts
Extract counts from two columns of a single-cell expression objectscColPairCounts
Extract percentages from two columns of a single-cell expression objectscColPairPercs
Extract observed-over-expected ratios from two columns of a single-cell expression objectscColPairRatios
Extracts a dimensionality reduction matrix from object.scDimredMat scDimredMat.default scDimredMat.Seurat scDimredMat.SingleCellExperiment
Extracts the expression matrix from object.scExpMat scExpMat.default scExpMat.dgCMatrix scExpMat.matrix scExpMat.Seurat scExpMat.SingleCellExperiment
Extracts the expression of a single genescGeneExp scGeneExp.default scGeneExp.dgCMatrix scGeneExp.matrix scGeneExp.Seurat scGeneExp.SingleCellExperiment
Extracts the PCA matrix from object.scPCAMat
Extracts the UMAP matrix from object.scUMAPMat
Create a violin plot to represent a featureviolinPlot