Cancer Data Science Pulse

Informatics Tools

Discover how to make your bioinformatics tools more broadly usable with no-code solutions!

In this blog, NCI’s Center for Cancer Health Equity, Dr. Laritza Rodriguez, looks at one technique to help counter a lack of diversity in your data set. See how Synthetic Minority Oversampling Techniques (SMOTE) can help bring your biomedical research data into better balance.

Whether you are in the data science field, interested in developing computational solutions for clinical oncology, or a clinical researcher, we’ve curated a list of data sets, tools, and learning resources to showcase how these disciplines can and are working together to empower cancer research.

After 37 years at NCI, most of which was time serving as chief of the Statistical Research and Applications Branch for the Surveillance Research Program within NCI’s Division of Cancer Control and Population Sciences, Dr. Feuer shares his past experience and accomplishments as well as his advice to the next generation of cancer researchers.

Did you know that the same technology that makes your video games more realistic is helping to power important advances in cancer research? This latest blog by Dr. Eric Stahlberg looks at edge computing and how it’s helping to transform cancer research and care.

Read the blogs that topped our charts in 2023, and see if your favorite made #1!

Find out what a previous fellow has to say about her experience with data science in an NCI fellowship, and how she applied what she learned to her cancer research career.

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.

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.