In the context of health and disease, individual elements act as parts of a larger system to exert physiological and pathological effects on an organism. Technological advancements in recent years now allow scientists to visualize and investigate molecules, cells, and tissues within larger structural contexts. Spatial biology helps researchers understand how location and proximity influence and modulate function at large. In this webinar from The Scientist, Elana Fertig and Sanjay Srivatsan will discuss the importance of spatial data and how to extract insights from high-throughput datasets.
Topics to be covered
Machine learning for spatial multi-omics in cancer biology
Embryo-scale spatial transcriptomics with single-cell resolution
Friday, October 8th, 2021
2:30 - 4:00 PM Eastern Time
Meet the Speakers
Elana Fertig, PhD Director, Division of Biostatistics and Bioinformatics and Research Program in Quantitative Sciences Associate Professor, Oncology, Biomedical Engineering, and Applied Mathematics and Statistics Johns Hopkins University
Sanjay Srivatsan, PhD Postdoctoral Fellow Department of Genome Sciences University of Washington
Sponsored by
Register Now
TS_WEBINARSIGNUP_Understanding Our Enemies: Identifying Mechanisms of Antibiotic Resistance_Multi_September 28, 2021
You must have Javascript and Cookies enabled to access this webcast.
Information you provide will be shared with the sponsors for this content. The Scientist or its sponsors may contact you to offer you content or products based on your interest in this topic. You may opt-out at any time.
.png?width=200&name=10x_Logo_Vertical_Full%20Color_Digital_2019_11%20(1).png "Tecan.png"){kind=logo}
