S. Hussein

MT-LLE: Multi-task locally linear embedding for interpretable disease modeling from longitudinal omics data

Manifold learning is recast as multi-task learning: MT-LLE jointly optimizes five objectives: geometric reconstruction, supervised organization by clinical stage, embedding and phenotype forecasting, and clustering, which supports complementary analyses that surface structure invisible to standard staging.