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Abstract Spatial multi-omic technologies measure multiple molecular layers within intact tissues. Two central challenges are vertical integration, which combines different molecular modalities, and horizontal integration, which aligns cell types across studies. Here we show domain invariant representation through adaptive calibration (DIRAC), a geometric deep learning model that unifies these tasks in a generalized domain adaptation framework.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
