This webinar, which caps off our 4 part Spatial Multiomics Webinar Series, gathers speakers from prior events in the series to discuss the challenges and benefits of integrating imaging-based single-cell spatial phenotyping data with complementary transcriptomic and genomic datasets.
Our expert panelists will review their own strategies for addressing the challenges of integrative multiomic analysis and will share best practices for this rapidly evolving field.
The discussion will be moderated by Dr. Oliver Braubach of Akoya Biosciences and will conclude with a live Q&A in which attendees can post questions to our panelists.
In this multi-part webinar series, our expert speakers will review analytical frameworks and algorithms to integrate imaging-based single-cell spatial phenotyping data with complementary transcriptomic and genomic datasets.
High-plex cell phenotyping methods like single-cell RNA-seq capture the deep cellular heterogeneity of samples, but cell behavior is a function of all that surrounds it. Imaging-based spatial phenotyping platforms enable researchers to visualize and analyze cell diversity, interactive networks, and cellular behavior across whole tissue sections. Both types of data have complementary features, which give researchers the ability to merge information about a cell’s proteome and transcriptome with its single-cell, spatial context.
This webinar series will highlight the latest advances driving integrative multiomics analysis.