Cancer Data Science Pulse

The Cancer Data Science Pulse blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities from professionals dedicated to building a national cancer data ecosystem that enables new discoveries and reduces the burden of cancer.

CBIIT’s series on data visualizations continues with a look at visualizing genetic data in a three-dimensional (3D) format. Here, Dr. Michael Sierk, a contractor with Essential Software, Inc., and Dr. Daoud Meerzaman from CBIIT’s Computational Genomics and Bioinformatics Branch show how they create visualizations in 3D using a new tool called 3DVizSNP.

Dr. Vivian Ota Wang shares her perspectives on data bias and outlines ideas for making data more equitable, fair, and useful to the greatest number of people, all of which would benefit cancer research.

Hear from CBIIT’s Chief of the Clinical and Translational Research Informatics Branch as he gives advice on how to conduct a research project using data science and the value data science brings to supporting the cancer research community.

We spoke to an early-career cancer data scientist at NCI to get advice for anyone pursuing a career in data science. Hear the five things he’s discovered since receiving his doctorate, plus the experience he’s gained in the field.

NCI’s recently released National Cancer Plan details eight strategic goals. Our NCI CBIIT leadership team offers insight into the new Plan, with particular emphasis on how data science and related technologies will support this work and serve as a catalyst for future cancer research at NCI.

How can data science support your cancer research? Explore this helpful quick start guide to find out! We’ll show you an overview of how data science enhances cancer research and how you can get started applying it to your work.

Learn what one NCI hiring manager is looking for when interviewing a candidate for a cancer data scientist job. CBIIT’s own Dr. Daoud Meerzaman provides his input on what certain questions mean during the interview process.

Did you ever wonder what goes into making data ready for analysis by researchers around the world? In this video blog, meet "Datum," a single speck of genomic data chronicling how NCI supports cancer research by bringing data to life.

Federated learning (FL) might well be the next paradigm shift in democratizing vast amounts of data from many data sources for use in cancer research. FL offers a decentralized, but collective, approach to using data to better understand cancer.

We’re continuing our blog series on data visualizations with a look at circular heatmaps and biplots. This blog features images and tips from Drs. Arashdeep Singh and Sridhar Hannehalli of NCI’s Center for Cancer Research.