NAIR Software: Unlocking the Immune System’s Secrets by Network Analysis and Advanced Machine Learning

Attend this webinar, hosted by Dr. Li Zhang, of the University of California-San Francisco, to learn about a platform that can help you gain critical insight into immune cell responses to plan more effective and targeted immunotherapies.

The platform, called “Network Analysis of Immune Repertoire (NAIR),” gives you access to pipelines, tools, and resources for examining T-cell receptors (TCRs) and linking those immune responses to gene expression. NCI’s Program for Informatics Technology Development funds the platform.

With NAIR you can use both bulk and single-cell sequencing data to:

• identify critical cancer-related TCR clusters and explore shared public clusters across multiple samples to identify potential disease-specific signatures.
• integrate single-cell gene expression data using a Graph deep learning model to delve deeper into T cell functionality.
• predict binding peptides by integrating TCR sequence vectorization, variable/joining (V/J) gene, and Human Leukocyte Antigen (HLA) genotype data within NAIR’s deep learning framework.
• unlock the complex interplay between adaptive immune system, disease progression, and clinical outcomes to better understand immune system dynamics.

If you are an individual with a disability who needs reasonable accommodations to participate in this event, please contact Kayla Strauss. Requests should be made at least 5 days in advance of the event.