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Yeskit

Bioc removed

Yet Another Single-Cell Analysis Toolkit (Yeskit)

v0.99.0 · MIT + file LICENSE

Release Lineage

Release history unavailable.

Description

This is a single-cell analysis tookit. It can be used for single-cell gene expression matrices importation, data integration, clustering, differential analysis, functional analysis, and visualization. It obeys the default data structure of Seurat, and stores pathogen expression data and pathway enrichment scores in the obj@meta.data slot and stores differential gene analysis results and GO enrichment results in the obj@misc slot. Besides, Yeskit has the option to rasterize the geom_point layer of ggplot2, while keep all axes, labels, and text in vector format.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Yeskit")
Zhang, W. (n.d.). Yeskit: Yet Another Single-Cell Analysis Toolkit (Yeskit) (Version 0.99.0) [Computer software]. Retrieved October 25, 2026, from https://bioconductor.org/packages/Yeskit

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Yeskit version 0.99.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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