Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
The review examines how to combine cardiac imaging phenotypes with molecular data from bulk RNA-seq, single-cell sequencing, and spatial transcriptomics. It explores representation learning techniques and multimodal fusion methods to create joint models that link heart structure seen in scans to the underlying cell-type and location-specific gene expression.