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
| Maintainer | Akira Cortal <akira.cortal@institutimagine.org> |
| Author | Akira Cortal [aut, cre], Antonio Rausell [aut, ctb] |
| License | GPL-3 + file LICENSE |
| Status | Deprecated |
| Downloads rank | 405 |
| Source branch | RELEASE_3_23 |
| biocViews | ATACSeq, 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