# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "CellWindX" in publications use:' type: software license: GPL-3.0-only title: 'CellWindX: Marker Gene Analysis and Visualization for Single-Cell Data' version: 1.0.0 doi: 10.32614/CRAN.package.CellWindX abstract: 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) and Hao et al. (2021) , as well as heatmap visualization methods implemented in 'ComplexHeatmap' described by Gu et al. (2016) . authors: - family-names: Yang given-names: Xiaofeng email: Youngxf02@163.com affiliation: Chongqing Medical University - family-names: Li given-names: Shan email: andylee24@foxmail.com affiliation: Chongqing Medical University repository: https://ryxf.r-universe.dev commit: 7a7c0d8e3ca2713041764c2b3b6995b3cc9c9ee8 date-released: '2026-05-27' contact: - family-names: Yang given-names: Xiaofeng email: Youngxf02@163.com affiliation: Chongqing Medical University