2022 - Cancer Data Science Pulse Blog
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Visualizing RNA-seq Data—Pro-Tips From an NCI Bioinformatics EngineerDr. Alida Palmisano of NCI's Computational and Systems Biology Branch shares her ideas for visualizing complex single-cell RNA sequencing data.
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NCI’s Data Science Time Capsule—A Snapshot in TimeThe data science time capsule has been buried for now, but we’ll be digging it up again to check our progress on January 29, 2028.
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Career Confessions From a Cancer Data ScientistEight National Cancer Institute data scientists share their advice on what you should know to start a career in cancer data science.
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Next Generation Artificial Intelligence: New Models Help Unleash the Power of AIMeet the people who are breaking new ground in the data science field—whether it’s a new tool, a new model, or a completely new way of using data.
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Datum and Artificial Intelligence—A Perfect MatchSee why the data-AI relationship works so well for cancer research in this offbeat blog featuring two fictitious characters—Datum and his pal, Aida.
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Using Bioinformatics to Solve the Neoantigen PuzzleDr. Griffith tells how his tinkering with computers, bioinformatics, and genomics is helping him understand the complexities of this promising research area.
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An Introduction to Cloud Computing for Cancer ResearchCBIIT’s NIH Data and Technology Advancement (DATA) Scholar, Dr. Jay G. Ronquillo, offers a bird’s-eye view of cloud computing, including tips for managing costs, access, and training to help advance precision medicine and cancer research.
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Blending Weather Forecasting with Team Science Leads to Advances in Cancer ImmunotherapyDr. Elana J. Fertig describes how she is using artificial intelligence, blended with spatial and single cell technologies, to better understand how cancer will respond to treatment.
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ITCR Network Puts Cancer Research Tools and Training at Your FingertipsA new resource from NCI’s Informatics Technology for Cancer Research program gives researchers, with varying skills and experience, the training they need to manage technology-driven approaches to cancer research and care.
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Semantics PrimerDiscover how semantics strengthens biomedical informatics and data science. Learn how systems improve data interoperability, making it easier to integrate diverse datasets and support researchers in unlocking deeper insights.