A solution to this problem is offered by a connectivity-based segmentation of the HD networks into subsets of functionally similar nodes (network modules) that ...
A solution to this problem is offered by a connectivity-based segmentation of the HD networks into subsets of functionally similar nodes (network modules) that ...
A solution to this problem is offered by a connectivity-based segmentation of the HD networks into subsets of functionally similar nodes (network modules) that ...
Abstract—The connectivity analysis of spatially highly re- solved data results in networks comprising an immense number of nodes and edges which makes it ...
Analyzing directed interactions within brain networks of high spatial resolution is always associated with a limited interpretability due to the high amount ...
Deciphering spatial domains from spatial multi-omics with SpatialGlue
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Jun 21, 2024 · We introduce SpatialGlue, a graph neural network model with a dual-attention mechanism that deciphers spatial domains by intra-omics integration.
Dec 1, 2022 · In this work, we investigate and characterize the relationship between anatomical and functional modular organization of the human brain.
Multi-subject or group independent component analysis (ICA) provided a data-driven approach to study properties of brain networks, including the default mode ...
Jan 18, 2024 · Here, we develop a flexible framework to quantify spatial gene expression patterns and detect spatial domains using spatially resolved ...
Jun 16, 2023 · Identifying genes with spatially coherent expression patterns is a key task in spatial transcriptomics analysis.