Hear from Columbia University’s Dr. Elham Azizi as she presents a set of machine learning methods developed to address problems such as handling sparsity and noise, distinguishing technical variation from biological heterogeneity, inferring underlying circuitry, and inferring temporal dynamics of immune cell states in clinical cohorts. Dr. Azizi will also present novel biological insights obtained from applying these methods to cancer systems.

Join the upcoming NCI Genomic Data Commons’s (GDC) monthly webinar to learn how to download and upload genomic data to the GDC.

Attendees of the 2021 Radiological Society of North America’s Annual Meeting can stop by the NCI Imaging Data Commons’ educational exhibit to learn more about its capabilities and plans for continued development.

Dr. Jeffrey Grover will explain how to leverage the Cancer Genomics Cloud (CGC), one of the three NCI Cloud Resources, to develop efficient workflows, follow best practices like version control and continuous integration, and use a variety of tools within the CGC Public Gallery.

Register for NCI’s Childhood Cancer Data Initiative Annual Symposium to get an update on activities to-date and exchange information with other cancer researchers.

University of California Associate Professor, Dr. Jill Hollenbach, will introduce a suite of standards and tools designed to maximize the usability of immunogenetic data for clinical and basic research science.

The Broad Institute’s FireCloud will lead a hands-on workshop teaching cancer researchers and data scientists how to leverage its Google cloud-based resource to support data sharing, visualization, and analysis. This will be the third and final event in a cloud computing training series hosted by the NIH National Library of Medicine.

Join the November NCI Imaging and Informatics Community webinar to discover how NCI’s Center for Cancer Research is leveraging its Artificial Intelligence Resource to better analyze medical images for cancer treatment, diagnosis, and detection.

The CGC will lead a hands-on workshop teaching cancer researchers and data scientists how to leverage its Amazon cloud-based resource to browse, query, and analyze data from NCI’s Cancer Research Data Commons. This will be the second of three events in a cloud computing training series hosted by the NIH National Library of Medicine.

Join the October NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar to learn how Dr. Pascal Belleau performed Human Leukocyte Antigen (HLA) class II typing across 11,000 patient samples from the TCGA data set within the CGC.