For the complete documentation index, see llms.txt. This page is also available as Markdown.

Prompting for a plot

What to do: Specify the chart type, variables, and dataset. K Pro supports real-time plot iteration: ask for specific formatting changes (colors, labels, font size) in follow-up prompts rather than trying to specify everything at once.

Which agent/skill: Visualization Agent

Example prompt:

Create a Kaplan-Meier survival curve for TCGA-BRCA patients stratified by TP53 mutation status (mutated vs. wild-type). Include the p-value from a log-rank test and the number of patients at risk.

Expected result: A Kaplan-Meier plot with two curves, log-rank p-value, and at-risk table.

A-S-R-T-C breakdown: Create [A] TP53 mutation survival analysis [S] at bulk level [R] as a KM curve with log-rank test [T] in TCGA-BRCA, mutated vs. wild-type [C].

Create comparative visualizations

Prompt:

Create a box plot comparing the expression of CD274 (PD-L1) across the five molecular subtypes in TCGA-BRCA. Add individual data points and mark statistically significant pairwise comparisons.

Expected result: A box plot with overlaid data points and significance brackets between groups.

Follow-up:

Now create a heatmap of the top 50 differentially expressed genes between these molecular subtypes.

Tip: You can request multiple plot types in sequence. Each builds on the data context from the previous query.

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