User-Friendly Analysis of Spatial Transcriptomics with spatialGE

About this Class

The rising popularity of spatial transcriptomics (ST) has prompted the development of numerous analysis methods, each varying in robustness and user accessibility. These diverse approaches could help provide a better understanding of the tumor microenvironment. However, navigating ST data analysis poses challenges for non-data scientists, limiting their exploratory capabilities and hypothesis generation.
 
Join this webinar for a discussion on the development of a user-friendly web application integrating the spatialGE R package, and providing a comprehensive platform for ST data analysis and visualization. spatialGE has been expanded to include additional ST analysis methods like SpaGCN, STdeconvolve, and InSituType, enhancing its utility for the cancer research community. Support for single-cell ST data analysis and test datasets to aid user proficiency with spatialGE has also been incorporated.

For questions, contact Daoud Meerzaman or Kayla Strauss.