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STOmics> Resources>Publications

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STOmics has been widely applied in organogenesis, embryo development, evolution, neuroscience and oncology research, and other different fields. Up to now, approximately 30 papers using Stereo-seq have been published on Cell, Nature, Science, and other top academic journals.

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150results：

09/06/2024 DOI:10.3390/biom14060674

Accurate Identification of Spatial Domain by Incorporating Global Spatial Proximity and Local Expression Proximity

Biomolecules

08/06/2024 DOI: 10.1093/nar/gkae480

CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomic

Nucleic Acids Research

08/06/2024 DOI:10.1007/s00432-024-05816-0

Spatial transcriptomics in cancer research and potential clinical impact: a narrative review

Journal of Cancer Research and Clinical Oncology

06/06/2024 DOI:10.1038/s41592-024-02284-9

Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics

Nature methods

05/06/2024 DOI:10.1186/s12864-024-10469-x

HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data

BMC Genomics

04/06/2024 DOI:10.1016/j.devcel.2024.05.016

Spatiotemporal transcriptomic landscape of rice embryonic cells during seed germination

Developmental Cell Species·rice Sample Type·embryo

29/05/2024 DOI:10.34133/research.0390

Dissecting Spatiotemporal Structures in Spatial Transcriptomics via Diffusion-Based Adversarial Learning

Research

27/05/2024 DOI:10.1186/s40779-024-00537-4

Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine

Military Medical Research

25/05/2024 DOI:10.1093/bib/bbae250

Benchmarking mapping algorithms for cell-type annotating in mouse brain by integrating single-nucleus RNA-seq and Stereo-seq data

Briefings in Bioinformatics Species·mouse Sample Type·brain

23/05/2024 DOI:10.1093/bib/bbae257

Multi-modal domain adaptation for revealing spatial functional landscape from spatially resolved transcriptomics

Brief Bioinform

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