Calculate heatmap dimensions from gene and sample counts for ComplexHeatmap.
npx skills add https://github.com/sahuno/llm_configs --skill heatmap-dimensions
Please help me install this Agent Skill. Skill: heatmap-dimensions Source: https://github.com/sahuno/llm_configs/tree/main/claude/skills/heatmap-dimensions Command: npx skills add https://github.com/sahuno/llm_configs --skill heatmap-dimensions
Heatmaps for gene expression data often require publication-grade sizing and labeling, which can be time-consuming to adjust manually.
Provide an expression matrix and sample metadata, then generate a publication-quality heatmap with automatically calculated dimensions.
High-intent search queries and answers about installing and using this skill.
You can automatically calculate publication heatmap dimensions by providing an expression matrix and sample metadata, which triggers dynamic height calculation and a fixed 180mm width based on your gene and sample counts.
Creating a publication-quality heatmap for DE genes involves integrating an expression matrix with ComplexHeatmap, which ensures precise sizing and clear labeling suitable for journal submission.
Yes, you can generate correlation matrix heatmaps with a fixed 180mm width and dynamic height calculation, automatically adjusting the visualization size based on your specific matrix dimensions.
The best way to format gene expression heatmaps for journals is to use automatic dimension calculation that enforces a fixed 180mm width and dynamic height, ensuring publication-friendly output directly from your data.
Yes, you need to provide sample metadata along with your expression matrix to generate a publication-ready heatmap with automatically calculated dimensions and clear labeling.
StarlitnightlyPreprocess TCGA bulk data into annotated AnnData objects with expression and clinical metadata.
pur3v4d3rCreate publication-quality statistical graphics from DataFrames using the seaborn API.
mims-harvardRetrieve gene expression and multi-omics datasets from ArrayExpress and BioStudies.
Revelo-RNASeqGenerate publication-ready RNA-seq plots with ggplot2, DESeq2, and EnhancedVolcano.
