Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit

Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker 3.0' database < https://bio-bigdata.hrbmu.edu.cn/CellMarker/>. 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) for more details.

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easybio

Installation and Usage

install.packages("easybio", repos = c("https://person-c.r-universe.dev", "https://cloud.r-project.org"))

To know how to use this package to do single cell annotation, see the article.

参考这个视频。

Stay up-to-date

To learn the difference between development version and CRAN version, see NEWS.

Citation

If you use the single-cell annotation functionality from easybio, consider citing:

• https://doi.org/10.1101/2024.09.14.609619

• https://doi.org/10.1093/nar/gkac947