ERC Consolidator Grant · 2024
Spatial Transcriptomics through the lenses of statistical modeling and AI
In recent years technological advances have made it possible to quantify the mRNA expression of large numbers of genes while preserving the spatial context of tissues and cells. These techniques, collectively known as spatial transcriptomics, are important because key biological processes depend on the physical proximity of cells and the spatial organization of tissues. Furthermore, several diseases are characterized by abnormal spatial organization within tissues. Despite its early age, spatial transcriptomics is rapidly becoming a widely used tool, complementing single-cell RNA-seq as the tool of choice to study gene expression in complex tissues, e.g., in cancer research and…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.