Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Last synced: 11 months ago
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Repository
Distribution-Free Single-cell Differential Expression Analysis
Basic Info
Statistics
- Stars: 1
- Watchers: 3
- Forks: 2
- Open Issues: 1
- Releases: 0
Created over 5 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# `ccdf`
[](https://CRAN.R-project.org/package=ccdf)
[](https://github.com/Mgauth/ccdf/actions)
## Overview
`ccdf` is a package for performing single-cell RNA-seq differential expression analysis and more generally **complex hypothesis testing**.
The main function of the package is `ccdf_testing()`. It allows to use either an asymptotic test for large sample size or a permutation test for small sample size with the argument `method`.
The methods implemented in this package are detailed in the following article:
> Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2020). Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis, *BioRxiv* [doi:10.1101/2021.05.21.445165](https://doi.org/10.1101/2021.05.21.445165)
## Installation
**`ccdf` is available from CRAN.**
```{r CRAN-install, eval=FALSE}
install.packages("ccdf")
```
**To install `ccdf`, you can download the development version on [GitHub](https://github.com/Mgauth/ccdf).**
```{r GitHub-install, eval=FALSE}
#install.packages("devtools")
devtools::install_github("Mgauth/ccdf")
```
## Example
Here is a basic example which shows how to use `ccdf` with simple generated data.
```{r example, eval = FALSE}
## Data Generation
X <- data.frame("X1" = as.factor(rbinom(n=100, size = 1, prob = 0.5)))
Y <- data.frame("gene1" = t(replicate(10, ((X$X1==1)*rnorm(n = 50,0,1)) + ((X$X1==0)*rnorm(n = 50,0.5,1)))))
```
```{r estimation, eval = FALSE}
# Hypothesis testing
res_asymp <- ccdf_testing(exprmat=Y, variable2test=X, test="asymptotic") # asymptotic test
res_perm <- ccdf_testing(exprmat=Y, variable2test=X, test="permutations",
adaptive=TRUE) # adaptive permutation test
```
-- Marine Gauthier, Denis Agniel, Rodolphe Thiébaut & Boris Hejblum
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Marine Gauthier | m****r@u****r | 111 |
| Mgauth | 3****h | 22 |
| borishejblum | b****m@u****r | 4 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: almost 3 years ago
All Time
- Total issues: 2
- Total pull requests: 0
- Average time to close issues: 22 days
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- NadineBestard (1)
- Mgauth (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: ccdf
Distribution-Free Single-Cell Differential Expression Analysis
- Documentation: http://cran.r-project.org/web/packages/ccdf/ccdf.pdf
- License: GPL (≥ 3)
- Status: removed
-
Latest release: 1.1.4
published almost 5 years ago
Rankings
Forks count: 21.9%
Average: 29.7%
Dependent packages count: 29.8%
Stargazers count: 31.7%
Dependent repos count: 35.5%
Maintainers (1)
Last synced:
almost 3 years ago
Dependencies
DESCRIPTION
cran
- R >= 3.6 depends
- CompQuadForm * imports
- RcppNumerical * imports
- cowplot * imports
- doParallel * imports
- foreach * imports
- ggplot2 * imports
- matrixStats * imports
- parallel * imports
- pbapply * imports
- randomForest * imports
- rpart * imports
- statmod * imports
- survey * imports
- viridisLite * imports