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CellWindX

Marker Gene Analysis and Visualization for Single-Cell Data

Provides a 'Seurat'-compatible toolkit for marker gene identification, expression summarization, and visualization of annotated single-cell transcriptomic data. 'CellWindX' identifies top cell-type-enriched markers, calculates marker expression percentages and average expression values across cell groups, and generates publication-oriented dimensional reduction plots, marker heatmaps, and gene-level radar plots. The package includes built-in aesthetic palettes and supports both exploratory analysis and downstream figure preparation for single-cell atlas studies. The workflow is designed to complement single-cell analysis frameworks such as 'Seurat' described by Satija et al. (2015) <doi:10.1038/nbt.3192> and Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048>, as well as heatmap visualization methods implemented in 'ComplexHeatmap' described by Gu et al. (2016) <doi:10.1093/bioinformatics/btw313>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 rolling linux/noble R-4.5 CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 rolling source/ R- CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 latest linux/jammy R-4.5 CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 latest linux/noble R-4.5 CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 latest source/ R- CellWindX_1.0.0.tar.gz 22.6 KiB
1.0.0 2026-04-23 source/ R- CellWindX_1.0.0.tar.gz 0 B

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