Skip to main content

FoG Boston 

REGISTER

FoG Boston 

REGISTER

Workshop: Mastering Spatial Data Analysis: From Basics to Cutting-Edge Innovations

Image

Workshop: Mastering Spatial Data Analysis: From Basics to Cutting-Edge Innovations

Tuesday June 24th 2025
11:30 – 13:00 Room 050 

Unlock the power of spatial data in this focused workshop

Explore both foundational techniques and cutting-edge innovations. Learn how to interpret, integrate and visualize spatial data to drive insights in research, drug discovery and precision medicine.

Ideal for pathologists, clinical scientists, researchers and industry professionals working with spatial biology.


Key Learnings:  

  • Gain insights into the novel techniques for spatial data analysis and visualization. 

  • Develop a deeper understanding of the challenges and solutions in spatial data interpretation and integration.  

  • Understand how spatial biology can be applied in drug discovery and personalized medicine. 

People sat working

Workshop requirements: 

  • Basic understanding of fundamental biological concepts, including cellular and molecular biology 

  • Familiarity with data analysis concepts and software (R preferably) 

  • Understanding of spatial biology fundamentals  

  • Download R Studio in advance and load the datasets provided on personal laptops 


Please note: To be considered for a workshop place you MUST already have an approved place at The Festival of Genomics and Biodata.

Workshop Leaders

Loading

Workshop Format: 

 

Pitfalls and opportunities: a practical tutorial for spatial transcriptomics analysis of human tissue data  

  • Spatial vs single-cell: biases and sources of noise  

  • Cell typing in spatial data: coarse and fine types  

  • Integration with single cell  

  • Tissue domain detection  

  • Multi-sample and case-control analysis  

  • Cell-cell communication networks 

Ilya Korsunsky, Principal Investigator, Brigham and Women’s Hospital  

 

Spatial Data Analysis: Comparative Modelling and Analysis of Spatio-Temporal Transcriptomics Data 

  • Comparative modelling of spatial data between two or more conditions and across multiple time points 

  • Application of generative AI and optimal transport algorithms 

  • Garnering insights into cellular ecosystems (microenvironments) 

Abul Hassan Samee, Assistant Professor, Integrative Physiology, Baylor College of Medicine 

How to sign up

Registration is now closed for the workshop.


The session is currently full, but if you would still like to attend, please arrive 10 minutes early and wait to see if any last-minute spots become available.

Countdown To The Festival


 

Search