ArticleGenome biology2024
MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data.
Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- MCFST: spatial domain identification method based on multi-view graph convolutional network and graph fusion network.Bioinformatics (Oxford, England) · 2026Article
- Structural-information guided fusion for spatial domain identification from spatial transcriptomics.Bioinformatics (Oxford, England) · 2026Article
- Spatial instruction of tissue immunity.ImmunoHorizons · 2026Review
- Alignment of spatial transcriptomics slices across diseases, platforms and conditions.Genome medicine · 2026Article
- HarveST uses a heterogeneous graph learning framework to reveal spatial transcriptomics patterns.Communications biology · 2026Article
- Network model for alignment, stitching and slice-to-volume 3D reconstruction of large-scale spatially resolved slices.Nature communications · 2026Article
- SAGE: Spatially Aware Gene Selection and Dual-View Embedding Fusion for Domain Identification in Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- CEMUSA: a graph-based integrative metric for evaluating clusters in spatial transcriptomics.Bioinformatics (Oxford, England) · 2026Article
- Atlas-Guided Nanocarrier Strategies Targeting Spatial NTRK2/MAPK Signaling in EGFR-TKI-Resistant Niches of Esophageal Squamous Cell Carcinoma.Pharmaceutics · 2026Review
- Signal-based spatial domain identification of spatially resolved transcriptomics with multigraph fusion.Briefings in bioinformatics · 2026Article
- Network models for bridging denoising and identifying spatial domains of spatially resolved transcriptomics.PLoS computational biology · 2026Article
- JGR-NMF: joint graph-regularized non-negative matrix factorization for spatial domain identification.PeerJ · 2026Article
- Spatial omics technology potentially promotes the progress of tumor immunotherapy.British journal of cancer · 2025Review
- Unveiling spatial domains from spatial multi-omics data using dual-graph regularized ensemble learning.Communications biology · 2025Article
- Article
- BGMDB: A curated database linking gut microbiota dysbiosis to brain disorders.Computational and structural biotechnology journal · 2025Article
- STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution.Briefings in bioinformatics · 2024Article
- ST-SCSR: identifying spatial domains in spatial transcriptomics data via structure correlation and self-representation.Briefings in bioinformatics · 2024Article
- MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data.Genome biology · 2024Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
Advances in spatial transcriptomics provide an unprecedented opportunity to reveal the structure and function of biology systems. However, current algorithms fail to address the heterogeneity and interpretability of spatial transcriptomics data. Here, we present a multi-layer network model for identifying spatial domains in spatial transcriptomics data with joint learning. We demonstrate that spatial domains can be precisely characterized and discriminated by the topological structure of cell networks, facilitating identification and interpretability of spatial domains, which outperforms state-of-the-art baselines. Furthermore, we prove that network model offers an effective and efficient strategy for integrative analysis of spatial transcriptomics data from various platforms.
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