Article

HarveST: Heterogeneous Graph Learning Framework for Revealing Spatial Transcriptomics Patterns

2025-08-20

Abstract excerpt

<title>Abstract</title> <p>Spatial transcriptomics enables in situ gene expression profiling, yet precise spatial domain identification and marker gene detection remain challenging. We present HarveST, a heterogeneous graph-based framework that integrates spatial, transcriptomic, and gene-gene interaction data through a unified computational model. HarveST employs dual learning strategies: self-supervised embeddi...

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Literature Corpus work: c2165159-0a54-57cf-a92f-9ce0bece2487
DOI: 10.21203/rs.3.rs-7283360/v1

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