Article

Building Foundation Models to Characterize Cellular Interactions via Geometric Self-Supervised Learning on Spatial Genomics

2025-01-27

Abstract excerpt

Cellular interactions form the fundamental/core circuits that drive development, physiology, and disease within tissues. Advances in spatial genomics (SG) and artificial intelligence (AI) offer unprecedented opportunities to computationally analyze and predict the behavior of cell intricate networks, and to identify interactions that drive disease states. However, challenges arise in both methodology and scalabi...

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Literature Corpus work: 7ed1ca2e-d244-562b-9918-9aacb0f786c4
DOI: 10.1101/2025.01.25.634867

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