Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
Deep generative model of macrophage immune response for hepato-intestinal tumor therapy optimization
(a) the use of a hierarchical, variational encoder to encode multimodal (multiple types of) data through modality-specific encoders (graph attention network [GAT], convolutional neural network ...
1Laura and Isaac Perlmutter Cancer Center, Department of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, New York. 9Department of Pathology, New York ...
SMURF: soft-segmentation for single-cell reconstruction and topological analysis of spatial transcriptomic data SMURF uses deep learning and topological analysis to assign mRNAs to single cells in ...
GAT achieves NMI 0.723 versus Transformer 0.659 and MLP 0.640. The GAT encoder benefits from explicit graph structure (15-NN graph), while the Transformer’s self-attention provides partial ...
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