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  "Title": "Robust Estimation for Multi-Study High-Dimensional Elliptical\nFactor Analytics",
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  "Description": "We introduce a multi-study high-dimensional factor\nanalysis toolbox 'MultiEFM' based on the elliptical factor\nmodel framework, which learns latent heterogeneous features and\naccounts for cross-study variation among sources. It provides\nrobust estimation algorithms for heterogeneous datasets,\nparticularly tailored for multi-study RNA sequencing arrays and\ncomplex spatial multi-omics layers. The package implements\nhighly efficient initialization strategies, identifiability\nconstraints alignment, and computationally scalable parameter\nestimation paradigms.",
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