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.

In this talk, Dr. James Lacey will describe the choices the cancer research community should consider and the questions they need to ask when transitioning their research projects to a cloud-based ecosystem.

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.

In this talk, Dr. David Kepplinger will describe the detrimental effects of “data-artifacts,” specifically as they relate to biomarker discovery and related feature selection techniques. He will also discuss a novel method for reliably identifying relevant biomarkers in the presence of such artifacts.

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.

Dr. Deborah Guadalupe Duran will define social determinants of health (SDOH). More specifically, she will give examples of how SDOH influence health outcomes; describe challenges related to collecting and using SDOH data; and offer resources for additional information on SDOH. She also will provide/suggest a new socio-cultural approach for including SDOH in biomedical research and policies.