SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models

Recent advances in various single-cell RNA sequencing (scRNA-seq) technologies have enabled profiling the gene expression level with the whole transcriptome at a single-cell resolution. However, it lacks the spatial context of tissues. The image-based transcriptomics in situ studies (e.g., MERFISH a...

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Detalles Bibliográficos
Autores principales: Gao, Dalong, Ning, Jin, Liu, Gang, Sun, Shiquan, Dang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181802/
https://www.ncbi.nlm.nih.gov/pubmed/35692845
http://dx.doi.org/10.3389/fgene.2022.893522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181802/
https://www.ncbi.nlm.nih.gov/pubmed/35692845
http://dx.doi.org/10.3389/fgene.2022.893522

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