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: |
2025-06-28 |
| 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 |
Documentation:
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