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Reference mapping for single-cell genomics

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets

MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.

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