Gene expression data is complex and may hold information regarding multiple biological processes at once. Researchers at Technion – Israel Institute of Technology have developed SPIRAL, an algorithm...
Read More »STRIDE – accurately decomposing and integrating spatial transcriptomics using single-cell RNA sequencing
The recent advances in spatial transcriptomics have brought unprecedented opportunities to understand the cellular heterogeneity in the spatial context. However, the current limitations of spatial technologies...
Read More »A technique to discover gene expression spatial patterns from single-cell RNA-Seq data
Researchers at the University of Alabama at Birmingham have developed Polar Gini Curve, a method for characterizing cluster markers by...
Read More »Spatial transcriptomics at subspot resolution with BayesSpace
Recent spatial gene expression technologies enable comprehensive measurement of transcriptomic profiles while retaining spatial context. However, existing analysis methods do not address the...
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