Learn more about RadxTools, an image informatics toolkit that uses artificial intelligence (AI) to help clinicians with precision medicine approaches. NCI’s Informatics Technology for Cancer Research Program funds this toolkit.
Learn about advanced computational methods for analyzing cancer-related genetic data. This event is part of NCI’s Emerging Technologies Seminar Series, highlighting NCI-supported novel technologies that could transform cancer research and clinical care.
Learn more about spatialGE—a web application and R package that can provide you with a platform for spatial transcriptomics data analysis and visualization for your cancer research. NCI’s Informatics Technology for Cancer Research program funds this application.
Carrie Wright, Ph.D.; J. Gregory Caparaso, Ph.D.; Candace Savonen, Ph.D.; and Kate Isaac, Ph.D.
Are you researching the microbiome’s link to cancer and looking for a bioinformatics platform to help manage and analyze data? Attend this workshop on QIIME2 to learn how this application can help you do more with your microbiome data.
Are you a cancer researcher looking to gain more experience using artificial intelligence (AI)? Register for this workshop, which includes beginner and advanced tracks for supporting multiple skill levels!
Attend this Containers and Workflows Interest Group webinar for tips on how to use technologies like Amazon Web Services (AWS), Amazon Elastic Container Service, and AWS Fargate.
Brian Furner, M.S., Michael Watkins, Ph.D., and Sam Volchenboum, M.D., Ph.D.
Hear experts from the Data for Common Good program discuss their work in developing pediatric data standards and how these standards will contribute to the future Childhood Cancer Clinical Data Commons.
Improve your research and help advance the knowledge of childhood cancers by accessing these two data sharing platforms from St. Jude Children’s Research Hospital.
Find training resources, opportunities to collaborate, advice from NCI data science experts, and ways to network and engage with the cancer data science community on our NCI Cancer Data Science page!