Article

Learning Discrete Cell and Niche Codes from Spatial Transcriptomics Using Dual Residual Vector Quantization

2026-08-13

Abstract excerpt

Spatially-resolved transcriptomics (SRT) measures gene expression at single-cell resolution while preserving each cell's spatial location, enabling the joint study of cell identity and cellular niche, the recurring microenvironment that organises tissue function. Existing representation-learning methods typically capture only one of these axes at a time. We present SQUINT, a graph vector quantized variational auto...

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Literature Corpus work: 021a0f38-99d6-5538-84d8-79499319b8b8
DOI: 10.64898/2026.08.07.743490

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