scrapbook
This is the released version of scrapbook; for the devel version, see scrapbook.
Single-cell RNA-seq analyses with scrapper
Bioconductor version: Release (3.23)
Demonstrates some basic analysis of single-cell RNA-seq data with scrapper. This includes quality control, normalization, feature selection, various forms of dimensionality reduction, clustering into subpopulations, and detection of marker genes. It is intended for users who already have some familiarity with R and want to get hands-on with some basic single-cell analyses.
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>
citation("scrapbook")):Aaron Lun. scrapbook: Single-cell RNA-seq analyses with scrapper. doi:10.18129/B9.bioc.scrapbook, R package version 1.0.0, https://bioconductor.org/packages/scrapbook.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scrapbook") 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("scrapbook") | Book for scrapper | HTML |
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | SingleCellWorkflow, Software, Workflow |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.23 (R-4.6) (< 6 months) |
| License | MIT + file LICENSE |
| Depends | AnnotationHub, BiocStyle, bluster, cluster, DropletTestFiles, DropletUtils, dynamicTreeCut, edgeR, ggplot2, gridExtra, msigdbr, pheatmap, scater, scrapper, scRNAseq, TENxPBMCData |
| Imports | |
| System Requirements | |
| URL | https://github.com/libscran/scrapbook |
| Bug Reports | https://github.com/libscran/scrapbook/issues |
See More
| Suggests | rmarkdown, bookdown, knitr |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/scrapbook |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scrapbook |
| Package Short Url | https://bioconductor.org/packages/scrapbook/ |
| Package Downloads Report | Download Stats |