Article

GILEA: GAN Inversion-enabled latent eigenvalue analysis for phenome profiling and editing

2023-02-13

Abstract excerpt

<h4>ABSTRACT</h4> Modeling heterogeneous disease states by data-driven methods has great potential to advance biomedical research. However, a comprehensive analysis of phenotypic heterogeneity is often challenged by the complex nature of biomedical datasets and emerging imaging methodologies. Here, we propose a novel GAN Inversion-enabled Latent Eigenvalue Analysis (GILEA) framework and apply it to phenome profil...

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Literature Corpus work: 169d8aeb-b80e-5a51-8e89-15aef76891ae
DOI: 10.1101/2023.02.10.528026

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