Maddy Griswold
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View article: Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling
Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling Open
Emerging spatial profiling technology has enabled high-plex molecular profiling in biological tissues, preserving the spatial and morphological context of gene expression. Here, we describe expanding the chemistry for the Digital Spatial P…
View article: Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data
Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data Open
Mapping cell types across a tissue is a central concern of spatial biology, but cell type abundance is difficult to extract from spatial gene expression data. We introduce SpatialDecon, an algorithm for quantifying cell populations defined…
View article: Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling
Spatially resolved whole transcriptome profiling in human and mouse tissue using Digital Spatial Profiling Open
Emerging spatial profiling technology has enabled high-plex molecular profiling in biological tissues, preserving the spatial and morphological context of gene expression. Here we describe expanding the chemistry for the Digital Spatial Pr…
View article: Advances in mixed cell deconvolution enable quantification of cell types in spatially-resolved gene expression data
Advances in mixed cell deconvolution enable quantification of cell types in spatially-resolved gene expression data Open
We introduce SpatialDecon, an algorithm for quantifying cell populations defined by single cell RNA sequencing within the regions of spatially-resolved gene expression studies. It obtains cell abundance estimates that are spatially-resolve…