Article

Interpretable deep generative ensemble learning for single-cell omics with Hydra

2025-08-21

Abstract excerpt

Single-cell omics enable the dissection of cellular heterogeneity, yet the high dimensionality, inherent noise, and sparsity present significant challenges. These challenges are amplified for rare cell populations, which are often difficult to annotate reliably but can be central to development and disease. As single-cell assays increasingly capture multiple molecular layers, the integrative analysis of such multi...

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Literature Corpus work: ef315f0d-ec15-5a23-b411-2df555954202
DOI: 10.1101/2025.08.15.670517

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