LEARNER is a penalized transfer-learning method that improves low-rank matrix estimation in a target population by borrowing latent-space structure from a source population.
A cross-population atlas of genetic associations for 220 human phenotypes
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LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
LEARNER is a penalized transfer-learning method that improves low-rank matrix estimation in a target population by borrowing latent-space structure from a source population.