BioinformaticsbioRxivPreprint
MT-LLE: Multi-Task Locally Linear Embedding for Interpretable Disease Modeling from Longitudinal Omics Data
Sundous Hussein, Iain R. Konigsberg, Katerina J. Kechris…·Farnoush Banaei‐Kashani
This paper introduces MT-LLE, a multi-task manifold learning method that improves disease modeling from longitudinal omics data by integrating clinical labels and temporal progression, achieving better clinical structure and progression forecasting than standard methods.
DOI 10.64898/2026.08.24.746083