How Deep Matrix Factorization Unlocks Multi-Omics Insights
Multi-omics datasets are high-dimensional and complex — but semi-supervised deep matrix factorization makes them manageable. By blending dimensionality reduction, structured regularization, and partial label guidance, this AI–math approach uncovers hidden biological patterns.
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