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Part 1: Bridging Spatial Genomics and Spatial Proteomics with MaxFuse, a New AI-Powered Algorithm

Webinar | Wednesday, February 28, 2024 

Two-Part Webinar Series 

Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of biological processes and systems and reveal potential therapeutic targets. However, combining and integrating data from these diverse modalities and platforms presents a significant challenge.

In this two-part GEN webinar series, our expert speakers Garry Nolan, PhD, (Part 1) will discuss MaxFuse, a new AI algorithm that provides reliable, fast, and cost-effective integration of spatial proteomic data with single-cell transcriptomic and epigenomic datasets. In part two, hear from Alexandro (Alex) Trevino, PhD, on how AI-powered algorithms within the Enable platform can facilitate comprehensive data storage, annotation, analysis, and search.

Webinar Part 1: Bridging Spatial Genomics and Spatial Proteomics with MaxFuse, a New AI-Powered Algorithm  

Single-cell sequencing and spatial omics technologies can now profile diverse molecular readouts within cells and preserve their spatial context. However, integrating data across modalities (“cross-modal integration”) remains challenging, especially when the linked features between modalities are weak or uninformative. In this webinar, Garry Nolan introduces MaxFuse, a novel cross-modal data integration method that overcomes these limitations. MaxFuse enables the spatial consolidation of proteomic, transcriptomic, and epigenomic information at single-cell resolution opening exciting possibilities for dissecting complex biological processes.

Interested in Part Two: Data Integration and Beyond: Creating and Leveraging Biological Atlases of Disease to Guide Drug Discovery – Watch Here>>




Garry Nolan PhD

Garry Nolan, PhD

Co-Founder, Akoya Biosciences
Professor, Stanford University

Dr. Garry Nolan co-founded Akoya Biosciences in 2015 and is the Rachford and Carlota A. Harris Professor in the Department of Pathology at Stanford University School of Medicine. As a co-inventor of the CODEX technology (now PhenoCycler), Garry has focused his research efforts on developing novel technologies and computational methods for research into cancer, leukemia, immunology, and autoimmune disease. He has published over 350 research articles and is the holder of 50 U.S. patents and has been honored as one of the top 25 inventors at Stanford University. He trained with Leonard
Herzenberg (for his PhD) and Nobelist Dr. David Baltimore for postdoctoral work. Professor Nolan is the first recipient of the Teal Innovator Award (2012) from the Department of Defense and has been honored with a number of awards including Nature Publishing “Outstanding Research Achievement,”
Stohlman Scholar from the Leukemia and Lymphoma Society and Burroughs Welcome Fund New
Investigator Award.