Complex Heatmaps for Single Cell Expression Data with Dual Information Display [R package SingleCellComplexHeatMap version 0.1.2]

XueCheng Fang

SingleCellComplexHeatMap: Complex Heatmaps for Single Cell Expression Data with Dual Information Display

Creates complex heatmaps for single cell RNA-seq data that simultaneously display gene expression levels (as color intensity) and expression percentages (as circle sizes). Supports gene grouping, cell type annotations, and time point comparisons. Built on top of 'ComplexHeatmap' and integrates with 'Seurat' objects. For more details see Gu (2022) <doi:10.1002/imt2.43> and Hao (2024) <doi:10.1038/s41587-023-01767-y>.

Version: 0.1.2

Depends: R (≥ 4.0.0)

Imports: ComplexHeatmap (≥ 2.10.0), Seurat (≥ 4.0.0), dplyr (≥ 1.0.0), tidyr (≥ 1.0.0), RColorBrewer, circlize (≥ 0.4.0), grid, grDevices, stats, magrittr

Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, viridis, devtools, BiocManager, ggsci, SeuratObject

Published: 2025年06月28日

DOI: 10.32614/CRAN.package.SingleCellComplexHeatMap

Author: XueCheng Fang [aut, cre]

Maintainer: XueCheng Fang <xuecheng328 at gmail.com>

BugReports: https://github.com/FanXuRong/SingleCellComplexHeatMap/issues

License: MIT + file LICENSE

URL: https://github.com/FanXuRong/SingleCellComplexHeatMap

NeedsCompilation: no

Materials: README

CRAN checks: SingleCellComplexHeatMap results