celda

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see celda.

CEllular Latent Dirichlet Allocation


Bioconductor version: 3.10

celda is a Bayesian hierarchical model that can co-cluster features and cells in single cell sequencing data.

Author: Joshua Campbell [aut, cre], Sean Corbett [aut], Yusuke Koga [aut], Shiyi Yang [aut], Eric Reed [aut], Zhe Wang [aut]

Maintainer: Joshua Campbell <camp at bu.edu>

Citation (from within R, enter citation("celda")):

Installation

To install this package, start R (version "3.6") and enter:


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

BiocManager::install("celda")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("celda")
Analyzing single-cell RNA-seq count data with celda HTML R Script
Estimate and remove cross-contamination from ambient RNA for scRNA-seq data with DecontX HTML R Script
Sorting and annotation of single-cell clustering results with multiclass decision trees HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Bayesian, Clustering, GeneExpression, Sequencing, SingleCell, Software
Version 1.2.4
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License MIT + file LICENSE
Depends R (>= 3.6)
Imports stats, plyr, foreach, ggplot2, RColorBrewer, grid, scales, gtable, grDevices, graphics, matrixStats, doParallel, digest, gridExtra, methods, reshape2, MAST, S4Vectors, data.table, Rcpp, RcppEigen, uwot, enrichR, stringi, SummarizedExperiment, MCMCprecision, ggrepel, Rtsne, withr, dendextend, ggdendro, pROC, magrittr
System Requirements
URL
Bug Reports https://github.com/campbio/celda/issues
See More
Suggests testthat, knitr, roxygen2, rmarkdown, corrplot, Matrix, biomaRt, covr, M3DExampleData, BiocManager, BiocStyle
Linking To Rcpp, RcppEigen
Enhances
Depends On Me
Imports Me singleCellTK
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package celda_1.2.4.tar.gz
Windows Binary celda_1.2.4.zip
Mac OS X 10.11 (El Capitan) celda_1.2.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/celda
Source Repository (Developer Access) git clone [email protected]:packages/celda
Bioc Package Browser https://code.bioconductor.org/browse/celda/
Package Short Url https://bioconductor.org/packages/celda/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.10 Source Archive