decontX
This is the development version of decontX; for the stable release version, see decontX.
Decontamination of single cell genomics data
Bioconductor version: Development (3.21)
This package contains implementation of DecontX (Yang et al. 2020), a decontamination algorithm for single-cell RNA-seq, and DecontPro (Yin et al. 2023), a decontamination algorithm for single cell protein expression data. DecontX is a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. DecontPro is a Bayesian method that estimates the level of contamination from ambient and background sources in CITE-seq ADT dataset and decontaminate the dataset.
Author: Yuan Yin [aut, cre] (ORCID:
Maintainer: Yuan Yin <yuan_yin at outlook.com>
citation("decontX")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("decontX")
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("decontX")
decontPro | HTML | R Script |
Estimate and remove cross-contamination from ambient RNA in single-cell data with DecontX | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Bayesian, SingleCell, Software |
Version | 1.5.0 |
In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
License | MIT + file LICENSE |
Depends | R (>= 4.3.0) |
Imports | celda, dbscan, DelayedArray, ggplot2, Matrix (>= 1.5.3), MCMCprecision, methods, patchwork, plyr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), reshape2, rstan (>= 2.18.1), rstantools (>= 2.2.0), S4Vectors, scater, Seurat, SingleCellExperiment, SummarizedExperiment, withr |
System Requirements | GNU make |
URL |
See More
Suggests | BiocStyle, dplyr, knitr, rmarkdown, scran, SingleCellMultiModal, TENxPBMCData, testthat (>= 3.0.0) |
Linking To | BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | decontX_1.5.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/decontX |
Source Repository (Developer Access) | git clone [email protected]:packages/decontX |
Bioc Package Browser | https://code.bioconductor.org/browse/decontX/ |
Package Short Url | https://bioconductor.org/packages/decontX/ |
Package Downloads Report | Download Stats |