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easybio: Comprehensive Single-Cell Annotation and Transcriptomic AnalysisToolkit

Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0' database (see Xia Li, Peng Wang, Yunpeng Zhang (2023) <doi:10.1093/nar/gkac947>). Streamlines biological label assignment in single-cell RNA-seq data and facilitates transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/> and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis and visualization of enrichment analysis results. Additional utility functions support various bioinformatics workflows. See Wei Cui (2024) <doi:10.1101/2024.09.14.609619> for more details.

Version:1.2.3
Depends:R (≥ 4.1.0)
Imports:data.table (≥ 1.15.0),checkmate,ggplot2,httr2,R6,xml2
Suggests:litedown,patchwork,ggrepel,Seurat,limma,GEOquery,fgsea,edgeR,testthat (≥ 3.0.0)
Published:2025-10-02
DOI:10.32614/CRAN.package.easybio
Author:Wei CuiORCID iD [aut, cre, cph]
Maintainer:Wei Cui <m2c.w at outlook.com>
BugReports:https://github.com/person-c/easybio/issues
License:MIT + fileLICENSE
URL:https://github.com/person-c/easybio
NeedsCompilation:no
Language:en-US
Citation:easybio citation info
Materials:README,NEWS
CRAN checks:easybio results

Documentation:

Reference manual:easybio.html ,easybio.pdf
Vignettes:Example Workflow for Single-Cell Annotation with easybio (source,R code)
Example Workflow for Bulk RNA-seq Analysis with limma-voom (source,R code)

Downloads:

Package source: easybio_1.2.3.tar.gz
Windows binaries: r-devel:easybio_1.2.3.zip, r-release:easybio_1.2.3.zip, r-oldrel:easybio_1.2.3.zip
macOS binaries: r-release (arm64):easybio_1.2.3.tgz, r-oldrel (arm64):easybio_1.2.3.tgz, r-release (x86_64):easybio_1.2.3.tgz, r-oldrel (x86_64):easybio_1.2.3.tgz
Old sources: easybio archive

Linking:

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