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^poweranalysis\.Rproj$ | ||
^\.Rproj\.user$ | ||
^LICENSE\.md$ | ||
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.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
^README.Rmd | ||
^\.github$ | ||
^doc$ | ||
^Meta$ | ||
^codecov\.yml$ | ||
^_pkgdown\.yml$ | ||
^docs$ | ||
^pkgdown$ | ||
Dockerfile | ||
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^data-raw$ | ||
^\.BBSoptions$ |
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.Rproj.user | ||
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# R project files | ||
*.Rproj | ||
.Rproj.user | ||
.Ruserdata | ||
# History files | ||
.Rhistory | ||
.Rapp.history | ||
# Session Data files | ||
.RData | ||
# User-specific files | ||
.Ruserdata | ||
# .DS_Store | ||
# find . -name .DS_Store -print0 | xargs -0 git rm -f --ignore-unmatch | ||
.DS_Store | ||
./.DS_Store | ||
./**/.DS_Store | ||
./**/**/.DS_Store | ||
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# Example code in package build process | ||
*-Ex.R | ||
# Output files from R CMD build | ||
/*.tar.gz | ||
# Output files from R CMD check | ||
/*.Rcheck/ | ||
# RStudio files | ||
.Rproj.user/ | ||
# produced vignettes | ||
vignettes/*.html | ||
vignettes/*.pdf | ||
vignettes/*.R | ||
# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3 | ||
.httr-oauth | ||
# knitr and R markdown default cache directories | ||
*_cache/ | ||
/cache/ | ||
# Temporary files created by R markdown | ||
*.utf8.md | ||
*.knit.md | ||
# R Environment Variables | ||
.Renviron | ||
# MotifPeeker specific | ||
inst/markdown/*.html | ||
inst/markdown/test.Rmd | ||
.gitignore | ||
codecov.yml | ||
!.github/codecov.yml | ||
docs/ |
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Package: poweranalysis | ||
Title: Carry out Power Analysis for Differential Expression in single-cell RNA-sequencing data | ||
Version: 0.0.0.9000 | ||
Authors@R: c( | ||
person("Salman", "Fawad", email = "salman.fawad16@imperial.ac.uk", role = c("aut", "cre")), | ||
person("Yunning", "Yuan", email = "yunning.yuan.21@ucl.ac.uk", role = c("aut"))) | ||
Description: A pipeline for carrying out end-to-end Power Analysis for differential expression in scRNA-seq data. | ||
Allows the user to carry out sum-pseudobulk DGE analysis (implemented in edgeR), which can then be used | ||
as part of the main power analysis. A down-sampling approach is used, and the % of True Positive DEGs detected | ||
are reported (with many layers of complexity). Other complementary analyses may also be carried out | ||
using this package. | ||
License: MIT + file LICENSE | ||
Encoding: UTF-8 | ||
Roxygen: list(markdown = TRUE) | ||
RoxygenNote: 7.3.2 | ||
Imports: | ||
qs, | ||
SingleCellExperiment, | ||
biomaRt, | ||
ggplot2, | ||
cowplot, | ||
viridis, | ||
ggrepel, | ||
edgeR, | ||
stats, | ||
data.table, | ||
reshape2, | ||
EnsDb.Hsapiens.v79, | ||
grid, | ||
Matrix, | ||
ensembldb, | ||
scales, | ||
utils, | ||
gtools, | ||
stringr, | ||
gridExtra | ||
Suggests: | ||
knitr, | ||
rmarkdown, | ||
rworkflows | ||
VignetteBuilder: knitr | ||
Type: Package | ||
Package: poweranalysis | ||
Title: Carry out Power Analysis for Differential Expression in single-cell RNA-sequencing data | ||
Version: 0.0.0.9000 | ||
Authors@R: c( | ||
person("Salman", "Fawad", email = "salman.fawad16@imperial.ac.uk", role = c("aut", "cre")), | ||
person("Yunning", "Yuan", email = "yunning.yuan.21@ucl.ac.uk", role = c("aut")), | ||
person("Hiranyamaya", "Dash", email = "hdash.work@gmail.com", role = c("ctb"), | ||
comment = c(ORCID = "0009-0005-5514-505X"))) | ||
Description: A pipeline for carrying out end-to-end Power Analysis for differential expression in scRNA-seq data. | ||
Allows the user to carry out sum-pseudobulk DGE analysis (implemented in edgeR), which can then be used | ||
as part of the main power analysis. A down-sampling approach is used, and the % of True Positive DEGs detected | ||
are reported (with many layers of complexity). Other complementary analyses may also be carried out | ||
using this package. | ||
License: MIT + file LICENSE | ||
URL: https://github.com/neurogenomics/Power_Analysis_package | ||
BugReports: https://github.com/neurogenomics/Power_Analysis_package/issues | ||
Encoding: UTF-8 | ||
Roxygen: list(markdown = TRUE) | ||
RoxygenNote: 7.3.2 | ||
Imports: | ||
qs, | ||
SingleCellExperiment, | ||
biomaRt, | ||
ggplot2, | ||
cowplot, | ||
viridis, | ||
ggrepel, | ||
edgeR, | ||
stats, | ||
data.table, | ||
reshape2, | ||
EnsDb.Hsapiens.v79, | ||
grid, | ||
Matrix, | ||
ensembldb, | ||
scales, | ||
utils, | ||
gtools, | ||
stringr, | ||
gridExtra | ||
Suggests: | ||
knitr, | ||
rmarkdown, | ||
rworkflows, | ||
badger | ||
VignetteBuilder: knitr |
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# Power Analysis | ||
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Wraps work from [this](https://github.com/neurogenomics/scRNA-seq_Power_Analysis) repository into an R package. | ||
# <code>Power Analysis</code><br>Power Analysis for Differential Expression in scRNA-seq data | ||
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[![](https://img.shields.io/badge/devel%20version-0.0.0.9000-black.svg)](https://github.com/neurogenomics/Power_Analysis_package) | ||
[![](https://img.shields.io/github/languages/code-size/neurogenomics/Power_Analysis_package.svg)](https://github.com/neurogenomics/Power_Analysis_package) | ||
[![](https://img.shields.io/github/last-commit/neurogenomics/Power_Analysis_package.svg)](https://github.com/neurogenomics/Power_Analysis_package/commits/master) | ||
<br> [![R build | ||
status](https://github.com/neurogenomics/Power_Analysis_package/workflows/rworkflows/badge.svg)](https://github.com/neurogenomics/Power_Analysis_package/actions) | ||
<br> [![License: MIT + file | ||
LICENSE](https://img.shields.io/badge/license-MIT%20+%20file%20LICENSE-blue.svg)](https://cran.r-project.org/web/licenses/MIT%20+%20file%20LICENSE) | ||
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**Authors:** ***Salman Fawad, Alan Murphy, Nathan Skene*** | ||
**Updated:** ***Oct-16-2024*** | ||
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## Introduction | ||
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Wraps work from | ||
[this](https://github.com/neurogenomics/scRNA-seq_Power_Analysis) | ||
repository into an R package. | ||
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To install (once made public), run: | ||
`devtools::install_github("neurogenomics/Power_Analysis")` |