developed the multi-modality structural embedding (MUSE), a deep learning approach that aggregates the heterogeneity from morphologies and transcripts and dissects tissue subpopulations at finer resolution.</p>
<p><img alt="avatar" src="/Users/fbao/OneDrive%20-%20University%20of%20California%2C%20San%20Francisco/Research/MUCE/MUSE-shared/MUSE/overview.png" />
<strong>Fig. 1 | An overview of the study.</strong> (<strong>a</strong>) Single-cell spatial transcriptomics technologies provide cell infromation fro