Package: scTypeEval 1.1.0

Josep Garnica

scTypeEval: Evaluation of cell type classifications in single-cell transcriptomics

scTypeEval provides tools to evaluate and validate cell type classifications in single-cell transcriptomics when ground truth labels are limited or unavailable. Results are organized in an S4 object that integrates processed data, dimensional reductions, dissimilarity assays, and consistency metrics computed across samples. The workflow includes preprocessing and feature selection, principal component analysis, computation of dissimilarity matrices, internal validation metrics (for example, silhouette-based summaries), and visualization utilities to inspect heatmaps and PCA plots. Functions support common single-cell containers and enable comparison of clustering and labeling strategies across datasets.

Authors:Josep Garnica [aut, cre], Massimo Andreatta [aut], Santiago Carmona [aut]

scTypeEval_1.1.0.tar.gz
scTypeEval_1.1.0.zip(r-4.7)scTypeEval_1.1.0.zip(r-4.6)scTypeEval_0.99.24.zip(r-4.5)
scTypeEval_1.1.0.tgz(r-4.6-any)scTypeEval_0.99.24.tgz(r-4.5-any)
scTypeEval_1.1.0.tar.gz(r-4.7-any)scTypeEval_1.1.0.tar.gz(r-4.6-any)
scTypeEval_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
scTypeEval/json (API)
NEWS

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

Bug tracker:https://github.com/carmonalab/sctypeeval/issues

Datasets:
  • black_list - Default Gene Blacklist for scTypeEval

On BioConductor:scTypeEval-1.1.0(bioc 3.24)scTypeEval-1.0.0(bioc 3.23)

singlecelltranscriptomicsgeneexpressioncellbasedassaysdimensionreductionpreprocessingprincipalcomponent

6.11 score 2 stars 4 scripts 18 exports 79 dependencies

Last updated from:33e37ac951. Checks:5 WARNING, 2 OK, 2 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING286
source / vignettesOK342
linux-release-x86_64WARNING319
macos-release-arm64WARNING163
macos-oldrel-arm64FAIL76
windows-develWARNING258
windows-releaseWARNING231
windows-oldrelFAIL351
wasm-releaseOK201

Exports:add_dim_reductionadd_gene_listadd_processed_datacreate_scTypeEvalget_consistencyget_hierarchyget_nnload_single_cell_objectplot_heatmapplot_mdsplot_pcarun_dissimilarityrun_gene_markersrun_hvgrun_pcarun_processing_dataset_active_identwrapper_scTypeEval

Dependencies:abindassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularblustercliclustercodetoolscpp11data.tableDelayedArraydplyrdqrngedgeRfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2ggrepelgluegtableigraphIRangesirlbaisobandlabelinglambda.rlatticelifecyclelimmalocfitmagrittrMatrixMatrixGenericsmatrixStatsmetapodpillarpkgconfigpurrrR6RColorBrewerRcppRcppEigenrlangrsvdS4ArraysS4VectorsS7ScaledMatrixscalesscranscuttleSeqinfoSingleCellExperimentSingleRsitmosnowSparseArraystatmodstringistringrSummarizedExperimenttibbletidyrtidyselecttransportutf8vctrsviridisLitewithrXVector

Quick Start Guide for scTypeEval

Rendered fromquick-start.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-04-02
Started: 2026-01-27

scTypeEval: Evaluating Cell Type Labels Consistency in scRNA-seq

Rendered fromscTypeEval.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-04-02
Started: 2026-01-27