Cargando…
Detection of differentially expressed genes in spatial transcriptomics data by spatial analysis of spatial transcriptomics: A novel method based on spatial statistics
BACKGROUND: Spatial transcriptomics (STs) simultaneously obtains the location and amount of gene expression within a tissue section. However, current methods like FindMarkers calculated the differentially expressed genes (DEGs) based on the classical statistics, which should abolish the spatial info...
Autores principales: | Qiu, Zhihua, Li, Shaojun, Luo, Ming, Zhu, Shuanggen, Wang, Zhijian, Jiang, Yongjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745188/ https://www.ncbi.nlm.nih.gov/pubmed/36523429 http://dx.doi.org/10.3389/fnins.2022.1086168 |
Ejemplares similares
-
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
por: Zeng, Zexian, et al.
Publicado: (2022) -
SpatialDWLS: accurate deconvolution of spatial transcriptomic data
por: Dong, Rui, et al.
Publicado: (2021) -
SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data
por: Seal, Souvik, et al.
Publicado: (2023) -
SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data
por: Seal, Souvik, et al.
Publicado: (2023) -
Spatially aware dimension reduction for spatial transcriptomics
por: Shang, Lulu, et al.
Publicado: (2022)