Spatial Data Analysis

Explore the tools, techniques, and breakthroughs transforming high-dimensional spatial data into actionable biological insights — from basic research to translational applications.

Spatial Biology

Accelerating Data To Insight With High-Fidelity Single-Cell Spatial Transcriptomics

Spatial Biology

Using Statistical Modelling to Infer Ligand-Receptor Interactions from Bulk Data

Spatial Biology

Integrating Spatial Data With scRNAseq And Applications In Atherosclerosis

Spatial Biology

Size, Selection, and Sequencing in Spatial Genomics

Spatial Biology

Microscopy Techniques for Accurate Spatial Transcriptomic Imaging

Spatial Biology

The What, Why, and How of Data Democratisation

Spatial Biology

Developing Next Generation Immunotherapies with IMMUcan

Spatial Biology

Platforms and Models Enabling Deep Learning in Single-Cell Spatial Analysis

Spatial Biology

Unveiling Fibrotic Disease Mechanisms: Multi-Scale Approaches

Spatial Biology

How Spatially Resolved Multiomics Data Paints a Picture of Inflammation in IBD

Spatial Biology

Spatial Data Analysis

Handling Transcriptomic Data Through Robust Infrastructure and ML-Integration

Spatial Niches And Mapping Inflammatory Landscapes

Three Tools to Tackle Spatial Data at Scale

Accelerating Data To Insight With High-Fidelity Single-Cell Spatial Transcriptomics

Using Statistical Modelling to Infer Ligand-Receptor Interactions from Bulk Data

Integrating Spatial Data With scRNAseq And Applications In Atherosclerosis

Size, Selection, and Sequencing in Spatial Genomics

Microscopy Techniques for Accurate Spatial Transcriptomic Imaging

The What, Why, and How of Data Democratisation

Developing Next Generation Immunotherapies with IMMUcan

Platforms and Models Enabling Deep Learning in Single-Cell Spatial Analysis

Unveiling Fibrotic Disease Mechanisms: Multi-Scale Approaches

How Spatially Resolved Multiomics Data Paints a Picture of Inflammation in IBD

Old Meets New: Combining Statistics and AI in Transcriptomics Data

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