Owkin K visualizations overview

Owkin K transforms complex biomedical data into clear, interpretable visualizations that help researchers identify patterns, compare outcomes, and communicate findings effectively. The platform's visualization capabilities are seamlessly integrated into its analysis workflow, allowing you to generate publication-quality figures directly from your queries without requiring specialized programming skills.

How Visualization Works in Owkin K

When you submit a query that would benefit from visual representation, Owkin K automatically:

1. Selects the appropriate visualization type based on your question and the data involved

2. Applies statistical analyses relevant to your query (e.g., survival statistics, significance tests)

3. Optimizes visual parameters for clarity and scientific accuracy

4. Provides context to help you interpret the visualization correctly

5. Enables follow-up analyses based on patterns observed in the visualization

All visualizations are generated with proper statistical rigor and include relevant metrics such as p-values, confidence intervals, and sample sizes to ensure scientific validity.

Core Visualization Capabilities

Owkin K offers a range of visualization types optimized for biomedical research:

Clinical Outcome Visualizations

• Kaplan-Meier survival curves with statistical analyses (log-rank tests, hazard ratios)

• Waterfall plots showing treatment responses across patient cohorts

• Forest plots displaying multivariate analysis results

Molecular Data Visualizations

• Heatmaps showing gene expression patterns across samples

• Volcano plots highlighting differentially expressed genes

• Box plots and violin plots comparing expression levels between groups

• Mutation oncoprints displaying genetic alterations across patient cohorts

Relationship Visualizations

• Correlation matrices showing relationships between multiple variables

• Network diagrams illustrating gene or protein interactions

• Scatter plots with regression lines for continuous variable relationships

• Dimensionality reduction plots (PCA, t-SNE, UMAP) for exploring complex datasets

Patient Cohort Visualizations

• Clinical characteristic summaries with demographic distributions

• Stacked bar charts comparing categorical variables across groups

• Sankey diagrams showing patient flow through treatment pathways

Getting the Most from Owkin K's Visualizations

To maximize the value of Owkin K's visualization capabilities:

• Request specific visualization types if you have a preference

• Ask for comparisons between different patient groups or conditions

• Follow up on interesting patterns with more targeted analyses

• Use visualizations to guide hypothesis formation and testing

• Export high-quality figures for presentations or publications

Owkin K's visualization capabilities make complex data accessible and actionable, helping you derive meaningful insights and accelerate your biomedical research.