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README.md
<!-- badges: start --> [![R-CMD-check](https://github.com/campbio/celda/workflows/R-CMD-check/badge.svg)](https://github.com/campbio/celda/actions) [![Coverage Status](https://coveralls.io/repos/github/campbio/celda/badge.svg?branch=master)](https://coveralls.io/github/campbio/celda?branch=master) <!-- badges: end --> # celda: CEllular Latent Dirichlet Allocation "celda" stands for "**CE**llular **L**atent **D**irichlet **A**llocation". It is a suite of Bayesian hierarchical models and supporting functions to perform gene and cell clustering for count data generated by single cell RNA-seq platforms. This algorithm is an extension of the Latent Dirichlet Allocation (LDA) topic modeling framework that has been popular in text mining applications. This package also includes a method called **DecontX** which can be used to estimate and remove contamination in single cell genomic data. ## Installation Instructions To install the latest stable release of **celda** from [Bioconductor](http://bioconductor.org/packages/celda/) (requires R version >= 3.6): ``` if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("celda") ``` The latest stable version of **celda** can be installed from GitHub using `devtools`: ``` library(devtools) install_github("campbio/celda") ``` The development version of **celda** can also be installed from GitHub using `devtools`: ``` library(devtools) install_github("campbio/celda@devel") ``` **NOTE** For MAC OSX users, `devtools::install_github()` requires installation of **libgit2.** This can be installed via homebrew: ``` brew install libgit2 ``` Also, if you receive installation errors when Rcpp is being installed and compiled, try following the steps outlined here to solve the issue: https://thecoatlessprofessor.com/programming/cpp/r-compiler-tools-for-rcpp-on-macos/ If you are running R 4.0.0 or later version on MacOS Catalina and you see error `'wchar.h' file not found`, you can try the method in this link: https://discourse.mc-stan.org/t/dealing-with-catalina-iii/12731/5 If you are trying to install on MacOS in an Apple Silicon computater and you see the following error: ``` ld: warning: directory not found for option '-L/opt/gfortran/lib/gcc/x86_64-apple-darwin20.0/12.2.0' ld: warning: directory not found for option '-L/opt/gfortran/lib' ld: library not found for -lgfortran clang: error: linker command failed with exit code 1 (use -v to see invocation) make: *** [celda.so] Error 1 ERROR: compilation failed for package ‘celda’ ``` You can solve this by downloading and installing the gfortran pkg located [here](https://mac.r-project.org/tools/gfortran-12.2-universal.pkg) and then running the following command: ``` sudo /opt/gfortran/bin/gfortran-update-sdk ``` **NOTE** If you are trying to install **celda** using Rstudio and get this error: `could not find tools necessary to compile a package`, you can try this: ``` options(buildtools.check = function(action) TRUE) ``` ## Vignettes and examples To build the vignettes for Celda and DecontX during installation from GitHub, use the following command: ``` library(devtools) install_github("campbio/celda", build_vignettes = TRUE) ``` Note that installation may take an extra 5-10 minutes for building of the vignettes. The Celda and DecontX vignettes can then be accessed via the following commands: ``` vignette("celda") vignette("decontX") ``` ## For developers Check out our [Wiki](https://github.com/campbio/celda/wiki) for developer's guide if you want to contribute! - [Celda Development Coding Style Guide](https://github.com/campbio/celda/wiki/Celda-Development-Coding-Style-Guide) - [Celda Development Robust and Efficient Code](https://github.com/campbio/celda/wiki/Celda-Development-Robust-and-Efficient-Code) - [Celda Development Rstudio configuration](https://github.com/campbio/celda/wiki/Celda-Development-Rstudio-configuration) - [FAQ on how to use celda](https://github.com/campbio/celda/wiki/FAQ-on-how-to-use-celda) - [FAQ on package development](https://github.com/campbio/celda/wiki/FAQ-on-package-development)