A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes
In current bioinformatics research, spatial transcriptomics (ST) as a rapidly evolving
technology is gradually receiving widespread attention from researchers. Spatial domains …
technology is gradually receiving widespread attention from researchers. Spatial domains …
Spatial integration of multi-omics single-cell data with SIMO
Technical limitations in spatial and single-cell omics sequencing pose challenges for
capturing and describing multimodal information at the spatial scale. To address this, we …
capturing and describing multimodal information at the spatial scale. To address this, we …
Mesoscale heterogeneity is a critical determinant for spiral pattern formation in developing social amoeba
T Kakizuka, H Nakaoka, Y Hara, A Ichiraku, Y Arai… - Scientific Reports, 2025 - nature.com
Heterogeneity is a critical determinant for multicellular pattern formation. Although the
importance of microscale and macroscale heterogeneity at the single-cell and whole-system …
importance of microscale and macroscale heterogeneity at the single-cell and whole-system …
Complete spatially resolved gene expression is not necessary for identifying spatial domains
Spatially resolved transcriptomics (SRT) technologies have revolutionized the study of tissue
organization. We introduce a graph convolutional network with an attention and positive …
organization. We introduce a graph convolutional network with an attention and positive …
Zmap: an intelligent region-allocation method to map single-cell into spatial data
Q Cai, L Lin, X Liu, J Chen - bioRxiv, 2025 - biorxiv.org
Integration of single-cell and spatial transcriptome represents as a fundamental strategy to
enhance spatial data quality. However, existing methods for mapping single-cell data to …
enhance spatial data quality. However, existing methods for mapping single-cell data to …