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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

MaintainerJoshua Campbell <camp@bu.edu>
AuthorJoshua Campbell [aut, cre], Shiyi Yang [aut], Zhe Wang [aut], Sean Corbett [aut], Yusuke Koga [aut]
LicenseMIT + file LICENSE
Bug Reportshttps://github.com/campbio/celda/issues
Downloads rank1456
Source branchRELEASE_3_23
biocViewsBayesian, Clustering, DataImport, GeneExpression, ImmunoOncology, Sequencing, SingleCell, Software

Documentation

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

LinkingTo: Rcpp, RcppEigen

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

Reverse dependencies

Imports Me (2): decontX, singleCellTK