LYNX Deep Generative Framework Integrates Multimodal Spatial Data
LYNX is a deep generative framework for multimodal spatial biology that learns a shared latent space to connect highly disparate spatial modalities like transcriptomics, proteomics, and histology. Led by a team from the Broad Institute, it effectively integrates tissue structural information across varying resolutions and feature spaces.
2026-07-12 ~ 2026-07-12 · 2 related posts
- LYNX: A Multimodal Spatial Biology Framework — elhamazizi · 2026-07-12
- LYNX Learns a Shared Latent Space — elhamazizi · 2026-07-12