PBHL-seq – large field of view and spatial region of interest transcriptomics in fixed tissue
Understanding the complex details of how genes are expressed within different regions of a tissue…
Browsing: Spatial Analysis
Nova-ST – a nano-patterned ultra-dense platform for spatial transcriptomics
Understanding how genes are expressed in specific locations within tissues is crucial. This spatial information…
IRIS – integrative and reference-informed spatial domain detection for spatial transcriptomics
Spatially resolved transcriptomics (SRT) is a groundbreaking technique in biology that allows scientists to map…
STGAT – integrating spatial transcriptomics and bulk RNA-seq to predict gene expression with enhanced resolution
In cancer research, understanding how genes are expressed spatially within tumor tissues is crucial for…
SpatialPrompt – spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics
In the world of biology, understanding the details of how cells function and interact within…
SPADE – spatial deconvolution for domain specific cell-type estimation
In genomics, understanding how genes are expressed in different cell types within their spatial context…
New method tags cells with location coordinates for single-cell studies
The technique, called Slide-tags, allows scientists to map the location of cells within tissues in…
standR – spatial transcriptomic analysis for GeoMx DSP data
To gain a better understanding of the complexity of gene expression in normal and diseased…
CeLEry – leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in health and disease.…
spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data
Since many single-cell RNA-seq (scRNA-seq) data are obtained after cell sorting, such as when investigating…