VIMA: Neural Nets Meet Rigorous Stats for Case-Control Analysis of Spatial Data in Nature Methods
anshulkundaje · x · 2026-10-07
Yakir Reshef's team at the Broad Institute published VIMA in Nature Methods: deep learning embedded in a principled statistical framework.
- Current approaches reduce tissue to discrete cell-type abundances and samples to discrete niches, risking missed signals
- VIMA trains an ensemble of variational autoencoders to summarize spatial content, enabling powerful, unbiased case–control analysis of spatial molecular data of any modality
- Applied with Soumya Raychaudhuri's group toward disease-associated spatial structure discovery
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