Cancer Data Science Pulse

Data Sets
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Synthetic Data Helps Counter Lack of Diversity in Data

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.

Three circles depict three separate but connected events. The first features a researcher looking at medical scans, the second is a team gathered around a laptop, and the third shows a doctor with a patient.

A Quick Start Guide to Cancer Data Science for Clinical Oncology

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.

Abstract rendering of a human genome sequencing shows vertical lines of blue and black. Along the lines are small rectangles that vary in intensity, with some bright and others darker. Small icons along the lines of color designate a position of interest along the DNA sequence.

The Cancer Genome Atlas (TCGA)—A Living Legacy for Cancer Research

Are you familiar with TCGA? This landmark data set maps the genomic profiles of 33 cancer types and subtypes. Learn how this rich data collection helps researchers like you better understand the molecular features associated with cancer.

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Cancer Researchers: Do You ‘Speak Data Science’? Test Your Knowledge!

Are you new to the cancer research lab and have realized how important it is to have basic data science knowledge? See how many of these cancer data science questions you answer correctly. After, you can use our training resources to improve your score!

Hands of many different colors come together to embrace a heart filled with data points against a background of codes. Illustrates the value of diverse data.

Why We Love Diverse Data

We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.

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Using Cancer Data Science to Advance Your Research

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.

Mitelman Database Icon: Half genomic helix, half chromosome.

How the Mitelman Database Can Help You Explore Genomic Abnormalities

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.

blue circle with orange flame in the middle of a light blue cloud icon to represent the FireCloud icon. Background shows multi-colored stacked rectangles to represent data

FireCloud: A Secure Platform For Data Analysis Powered by Terra

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.

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The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2022

Read the blogs that topped our charts in 2022 and see if your favorite made #1!

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Improving Access to NCI’s Individual-Level Genomics and Other Omics Data

Learn more about new streamlined access to broad-use data sets within the database of Genotypes and Phenotypes (dbGaP).

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