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.
Are you researching genomic abnormalities? Bioinformatician Deena Bleich gives an overview of the online tool, “Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer,” and how it can help you analyze genomic data.
In this blog, we’re spotlighting how researchers can leverage FireCloud, one of NCI’s Cloud Resources, for accessing data, running analysis, and collaborating with others in the cancer research community.
Looking for ways to visualize your data? We asked data scientists to show us their favorite visualizations. Here, Dr. Alida Palmisano of NCI's Computational and Systems Biology Branch shares her ideas for visualizing complex single-cell RNA sequencing data.
This year’s theme for World Cancer Research Day is “support research to prevent cancer and catch it early.” How can data science drive progress in international cancer research? Check out our NCI resources and learn what we have to support those global research efforts.