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CelliD

Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis

Bioconductor version: 3.23 · Package version: 1.20.0

CelliD is a clustering-free multivariate statistical method for the robust extraction of per-cell gene signatures from single-cell RNA-seq. CelliD allows unbiased cell identity recognition across different donors, tissues-of-origin, model organisms and single-cell omics protocols. The package can also be used to explore functional pathways enrichment in single cell data.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CelliD")

Details

MaintainerAkira Cortal <akira.cortal@institutimagine.org>
AuthorAkira Cortal [aut, cre], Antonio Rausell [aut, ctb]
LicenseGPL-3 + file LICENSE
StatusDeprecated
Downloads rank405
Source branchRELEASE_3_23
biocViewsATACSeq, Clustering, DimensionReduction, GeneExpression, GeneSetEnrichment, RNASeq, SingleCell, Software

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Dependencies

Depends: R (>= 4.1), Seurat (>= 4.0.1), SingleCellExperiment

Imports: Rcpp, RcppArmadillo, stats, utils, Matrix, tictoc, scater, stringr, irlba, data.table, glue, pbapply, umap, Rtsne, reticulate, fastmatch, matrixStats, ggplot2, BiocParallel, SummarizedExperiment, fgsea

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, rmarkdown, BiocStyle, testthat, tidyverse, ggpubr, destiny, ggrepel