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celda

CEllular Latent Dirichlet Allocation

Bioconductor version: 3.24 · Package version: 1.29.0

Celda is a suite of Bayesian hierarchical models for clustering single-cell RNA-sequencing (scRNA-seq) data. It is able to perform "bi-clustering" and simultaneously cluster genes into gene modules and cells into cell subpopulations. It also provides wrapper functions for DecontX, a Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information, which is implemented in the 'decontX' package. A variety of scRNA-seq data visualization functions is also included.

Installation

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

BiocManager::install("celda")

Details

MaintainerJoshua Campbell <camp@bu.edu>
AuthorJoshua Campbell [aut, cre] (ORCID: <https://orcid.org/0000-0003-0780-8662>), Shiyi Yang [aut], Zhe Wang [aut], Sean Corbett [aut], Yusuke Koga [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/campbio/celda, https://www.camplab.net/celda
Bug Reportshttps://github.com/campbio/celda/issues
Downloads rank1723
Source branchdevel
biocViewsBayesian, Clustering, DataImport, GeneExpression, ImmunoOncology, Sequencing, SingleCell, Software

Download

Follow the installation instructions to use this package in your R session.

Source packagecelda_1.29.0.tar.gz
Windows binary (x86_64)celda_1.29.0.zip
macOS binary (arm64)celda_1.29.0.tgz
macOS binary (x86_64)celda_1.29.1.tgz
Dependencies

Depends: R (>= 4.5.0), SingleCellExperiment, Matrix

Imports: plyr, foreach, ggplot2, RColorBrewer, grid, scales, gtable, grDevices, graphics, matrixStats, doParallel, digest, methods, reshape2, S4Vectors, data.table, Rcpp, RcppEigen, uwot, enrichR, SummarizedExperiment, ggrepel, Rtsne, withr, dbscan, stringr, ComplexHeatmap, gridExtra, circlize, dendextend, ggdendro, pROC

LinkingTo: Rcpp, RcppEigen

Suggests: testthat, knitr, roxygen2, rmarkdown, biomaRt, covr, BiocManager, BiocStyle, TENxPBMCData, singleCellTK, M3DExampleData, decontX, scater, Seurat

Reverse dependencies

Imports Me (1): singleCellTK