981-SpaHDmap: for Multimodal Spatial Transcriptomics

Paper Talk · May 17, 2026 · 20m

SpaHDmap is an innovative multimodal framework designed to enhance the resolution and interpretability of spatial transcriptomics (ST) data. By integrating gene expression profiles with high-resolution histology images, the tool overcomes common challenges like data sparsity and noise to reveal subtle tissue structures. It utilizes a deep learning architecture combined with non-negative matrix factorization to produce "spatial metagenes" that map biological activities at a near-pixel level. Evaluations across synthetic and real-world datasets, including cancer and brain tissues, prove its…