Article
Signal Strength Aware Latent Spaces Reveal Molecularly Distinct Substructures within Human Kidney Tissue
2026-01-16
Abstract excerpt
As datasets grow increasingly high-dimensional and complex, distinguishing a condensed set of interpretable underlying factors becomes essential. In spatial omics, for example, hundreds to thousands of molecular features per observation promise unprecedented biological insight. However, without meaningful latent representations, that potential remains markedly untapped. We propose a new approach based on the beta-...
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Identifiers and source
- Literature Corpus work
- 27bc03a8-a6f2-5271-9d96-a163a39aac23
- DOI
- 10.64898/2026.01.15.699686
