celda
CEllular Latent Dirichlet Allocation
Bioconductor version: 3.23 · Package version: 1.28.0
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 contains DecontX, a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. 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], Shiyi Yang [aut], Zhe Wang [aut], Sean Corbett [aut], Yusuke Koga [aut] |
| License | MIT + file LICENSE |
| Bug Reports | https://github.com/campbio/celda/issues |
| Downloads rank | 1456 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, Clustering, DataImport, GeneExpression, ImmunoOncology, Sequencing, SingleCell, Software |
Documentation
- Analysis of single-cell genomic data with celda
- Decontamination of ambient RNA in single-cell genomic data with DecontX
Download
Dependencies
Depends: R (>= 4.0), 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, MCMCprecision, ggrepel, Rtsne, withr, scater (>= 1.14.4), scran, dbscan, DelayedArray, stringr, ComplexHeatmap, gridExtra, circlize, dendextend, ggdendro, pROC
Suggests: testthat, knitr, roxygen2, rmarkdown, biomaRt, covr, BiocManager, BiocStyle, TENxPBMCData, singleCellTK, M3DExampleData
Reverse dependencies
Imports Me (2): decontX, singleCellTK