SpateCV: cross-modality alignment regularization of cell types improves spatial gene imputation for spatial transcriptomics

Background The integration of single-cell RNA sequencing (scRNA-seq) and high-resolution spatial transcriptomics (ST) could improve our understanding of both tissue architecture and cellular heterogeneity simultaneously. The key to accomplishing this goal mainly relies on effectively co-embedding si...

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Veröffentlicht in:	Journal of translational medicine Jg. 23; H. 1; S. 1188 - 21
Hauptverfasser:	Yuan, Jiaqi, Yu, Junhua, Yi, Qianbei, Ye, Zheng, Xu, Peng, Liu, Wenbin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.10.2025 BioMed Central Ltd BMC
Schlagworte:	Anopheles Attention mechanism Biomedical and Life Sciences Biomedicine Cancer microenvironment Conditional variational autoencoder (CVAE) Gene imputation Gene mutations Genes Genetic research Genetic transcription Genomics Health aspects Identification and classification Medicine/Public Health Methods Neural networks Neurons RNA sequencing Single-cell RNA sequencing Spatial transcriptomics Technology application China Attention mechanism Conditional variational autoencoder (CVAE) Spatial transcriptomics Single-cell RNA sequencing Gene imputation
ISSN:	1479-5876, 1479-5876
Online-Zugang:	Volltext
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