MultiModalGraphics

MultiModalGraphics creates annotated scatterplots and heatmaps of multi-omics data, facilitating quantitative comparisons through the integration of statistical summaries.

Key Features:

• Statistical Annotation Embedding: Seamlessly embeds statistical summaries including fold-changes, p-values, q-values, and standard deviations into visualizations.
• Bioconductor Interoperability: Interoperates with Bioconductor packages including MultiAssayExperiment, limma, voom, and iClusterPlus.
• Streamlined Workflow Integration: Supports workflows from data preprocessing and differential expression analysis to visualization.

Scientific Applications:

• Multi-Omics Data Visualization: Generates annotated scatterplots and heatmaps for multi-omics and high-dimensional biological datasets.
• Quantitative Comparison: Enables direct quantitative interpretation of complex relationships in diverse, high-dimensional biological data through embedded statistical annotations.

Methodology:

The package streamlines workflows from data preprocessing and differential expression analysis to visualization, with case studies on three distinct real-world multimodal datasets demonstrating practical utility.