Discover actionable drug targets in your spatial transcriptomics data with systems biology and network analysis.

In this 60-minute session, we’ll start with differential expression data and explore ways to derive biological insights across experimental observations. Then, we’ll investigate and compare these findings across other harmonized and curated data.

We’ll show you how to:

• Identify regions of interest in oral squamous cell carcinoma biopsies

• Generate new networks by connecting genes to functional hallmarks of cancer

• Predict upstream regulators and activity in a custom network with new causal analysis on the fly features

• Test potential drug targets with in-silico experimentation

• Overlay data and save custom network patterns of interest for causal scoring in future experiments

• Explore other indications and potential treatments with curated, harmonized data

Find out what happens when spatial ‘omics data meets network biology.