Cargando…
Analysis and Visualization of Spatial Transcriptomic Data
Human and animal tissues consist of heterogeneous cell types that organize and interact in highly structured manners. Bulk and single-cell sequencing technologies remove cells from their original microenvironments, resulting in a loss of spatial information. Spatial transcriptomics is a recent techn...
Autores principales: | Liu, Boxiang, Li, Yanjun, Zhang, Liang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829434/ https://www.ncbi.nlm.nih.gov/pubmed/35154244 http://dx.doi.org/10.3389/fgene.2021.785290 |
Ejemplares similares
-
Visualization and Analysis of Gene Expression in Stanford Type A Aortic Dissection Tissue Section by Spatial Transcriptomics
por: Li, Yan-Hong, et al.
Publicado: (2021) -
Spatial Transcriptomics for Tumor Heterogeneity Analysis
por: Li, Qiongyu, et al.
Publicado: (2022) -
Sampling and ranking spatial transcriptomics data embeddings to identify tissue architecture
por: Lin, Yu, et al.
Publicado: (2022) -
SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models
por: Gao, Dalong, et al.
Publicado: (2022) -
Comparative Analyses of Full-Length Transcriptomes Reveal Gnetum luofuense Stem Developmental Dynamics
por: Hou, Chen, et al.
Publicado: (2021)