By contrast, scRNA-seq data provides ... long for cancer researchers to use the approach on breast and prostate cancer, and melanoma samples. “Spatial transcriptomics is an exciting new modality ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Spatial transcriptomics technologies ... Their microscope was under near-constant use. But lingering in their minds was the ...

The field of spatial transcriptomics ... “The sequencing-based methods analyze all genes and serve well to provide an unbiased view of tissue ecosystem,” Lundeberg explained. “The hybridization-based ...

scRNA-Seq reveals the heterogeneity and dynamics of gene expression within cell populations. It is particularly useful for studying rare cell types, developmental processes, and complex tissues.

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has ...