bio-chipseq-visualization:可视化 ChIP-seq data ,使用 deepTools,Gviz,、 ChIPseeker。 创建 heatmaps,profile plots,、 genome browser…
bio-data-visualization-upset-plots
维护者 FreedomIntelligence · 最近更新 2026年4月1日
bio-data-visualization-upset-plots:UpSet plots ,用于 multi-set intersection visualization。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-data-visualization-upset-plots
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- upset(fromExpression(data),order.by = 'freq',nsets = 6)。
- gene_sets <- list( SetA = c('Gene1','Gene2','Gene3','Gene4'),SetB = c('Gene2','Gene3','Gene5','Gene6'),SetC = c('Gene1','Gene3','Gene6','Gene7'),SetD = c('Gene3','Gene4','Gene7','Gene8') ) upset(fromList(gene_sets),order.by = 'freq',nsets = 4)。
原始文档
SKILL.md 摘录
Customized appearance
upset(fromList(gene_sets), nsets = 6, nintersects = 40, order.by = 'freq', decreasing = TRUE, mb.ratio = c(0.6, 0.4), # Matrix to bar ratio point.size = 3, line.size = 1.5, mainbar.y.label = 'Intersection Size', sets.x.label = 'Set Size', text.scale = c(1.5, 1.3, 1.3, 1, 1.5, 1.3), set_size.show = TRUE, set_size.scale_max = 500)
Custom set colors
upset(fromList(gene_sets), sets.bar.color = c('#E64B35', '#4DBBD5', '#00A087', '#3C5488'), main.bar.color = '#7E6148', matrix.color = '#7E6148')
## Highlight specific intersections
upset(fromList(gene_sets),
order.by = 'freq',
queries = list(
list(query = intersects,
params = list('SetA', 'SetB'),
color = '#E64B35',
active = TRUE),
list(query = intersects,
params = list('SetA', 'SetC', 'SetD'),
color = '#4DBBD5',
active = TRUE)
))
适用场景
- Use bio-data-visualization-upset-plots to prepare 论文级图表。
- Apply bio-data-visualization-upset-plots when results need clear visual communication。
不适用场景
- Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
上游相关技能
- data-visualization/heatmaps-clustering - Alternative for smaller sets
- pathway-analysis/enrichment-visualization - Gene set overlaps
- differential-expression/de-results - DE gene set comparisons
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