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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# decontX
<!-- badges: start -->
[![R-CMD-check](https://github.com/campbio/decontX/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/campbio/decontX/actions/workflows/R-CMD-check.yaml)
[![codecov](https://codecov.io/gh/campbio/decontX/graph/badge.svg?token=z5YnsXuWqh)](https://codecov.io/gh/campbio/decontX)
<!-- badges: end -->
Methods for decontamination of single cell data. This package implements both DecontX (Yang et al., [2020](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-1950-6)) for single-cell RNA-seq data and DecontPro (Yin et al., [2023](https://www.biorxiv.org/content/10.1101/2023.01.27.525964v2)) for single-cell protein expression data.
## Installation Instructions
You can install the development version of `decontX` from [GitHub](https://github.com/) with:
```r
# install.packages("devtools")
devtools::install_github("campbio/decontX")
```
## Vignettes
To build vignette when installing from GitHub:
``` {r eval=FALSE}
library(devtools)
install_github("campbio/decontX", build_vignettes = TRUE)
```
Vignettes can be accessed through:
```{r eval=FALSE}
vignette('decontX', package = 'decontX')
vignette('decontPro', package = 'decontX')
```