mvlearnR Shiny App

mvlearnR Shiny App integrates multiview data from genomics, proteomics, clinical, and demographic sources for comprehensive multiview learning analysis.

Key Features:

• Multiview Data Integration: Wraps statistical and machine learning methods for integrating multiple data modalities.
• Graphical Tools: Provides graphical tools as part of the data integration workflow.

Scientific Applications:

• Complex Disease Mechanism Analysis: Offers potential for deeper insights into complex disease mechanisms through integrative multiview learning.

Methodology:

The methods include statistical and machine learning approaches for multiview learning; specific computational steps are not detailed in the sources.