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bio-multi-omics-mofa-integration

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Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.

When to use

• integrating RNA-seq, proteomics, methylation, or other omics
• discovering latent factors driving biological variation
• identifying shared and view-specific sources of variation
• unsupervised integration of multiple data modalities
• multi-group MOFA for batch- or group-structured data
• factor interpretation via gene set enrichment
• visualizing factor values, feature weights, and correlations

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