NAIR Software: Unlocking the Immune System's Secrets by Network Analysis and Advanced Machine Learning
To Know
About this Class
Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time.
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 treatments.
The platform, called Network Analysis of Immune Repertoire (NAIR), funded by NCI’s Program for Informatics Technology Development, gives you access to pipelines, tools, and resources for examining T-cell receptors (TCRs) and linking those immune responses to gene expression.
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, V/J gene, and 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.