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
| Maintainer | Joshua Campbell <camp@bu.edu> |
| Author | Joshua Campbell [aut, cre] (ORCID: <https://orcid.org/0000-0003-0780-8662>), Shiyi Yang [aut], Zhe Wang [aut], Sean Corbett [aut], Yusuke Koga [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/campbio/celda, https://www.camplab.net/celda |
| Bug Reports | https://github.com/campbio/celda/issues |
| Downloads rank | 1723 |
| Source branch | devel |
| biocViews | Bayesian, Clustering, DataImport, GeneExpression, ImmunoOncology, Sequencing, SingleCell, Software |
Download
Follow the installation instructions to use this package in your R session.
| Source package | celda_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
Suggests: testthat, knitr, roxygen2, rmarkdown, biomaRt, covr, BiocManager, BiocStyle, TENxPBMCData, singleCellTK, M3DExampleData, decontX, scater, Seurat
Reverse dependencies
Imports Me (1): singleCellTK