Cargando…
SiGra: single-cell spatial elucidation through an image-augmented graph transformer
Recent advances in high-throughput molecular imaging have pushed spatial transcriptomics technologies to subcellular resolution, which surpasses the limitations of both single-cell RNA-seq and array-based spatial profiling. The multichannel immunohistochemistry images in such data provide rich infor...
Autores principales: | Tang, Ziyang, Li, Zuotian, Hou, Tieying, Zhang, Tonglin, Yang, Baijian, Su, Jing, Song, Qianqian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497630/ https://www.ncbi.nlm.nih.gov/pubmed/37699885 http://dx.doi.org/10.1038/s41467-023-41437-w |
Ejemplares similares
-
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment
por: Tang, Ziyang, et al.
Publicado: (2023) -
SpaRx: Elucidate single-cell spatial heterogeneity of drug responses for personalized treatment
por: Tang, Ziyang, et al.
Publicado: (2023) -
spaCI: deciphering spatial cellular communications through adaptive graph model
por: Tang, Ziyang, et al.
Publicado: (2022) -
GraTeLPy: graph-theoretic linear stability analysis
por: Walther, Georg R, et al.
Publicado: (2014) -
DEPOT: graph learning delineates the roles of cancers in the progression trajectories of chronic kidney disease using electronic medical records
por: Song, Qianqian, et al.
Publicado: (2023)