Cancer Data Science Pulse

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Headshot of Yanjun Qi

Computer Savvy Scientist Blends Technology with Biology to Create Attention-Based Deep Learning Methods for Genomics Data

On Wednesday, September 22, 2021, Yanjun Qi, Ph.D., from the University of Virginia, will present “AttentiveChrome: Deep Learning for Predicting Gene Expression from Histone Modifications,” in the kickoff of the Fall Data Science Seminar Series. This blog offers insight on Dr. Qi’s research and why this topic is important to her.

As illustrated in this graphic, the three NCI Cloud Resources provide researchers, clinicians, and data scientists access to the data within NCI's Cancer Research Data Commons and computational tools.

NCI’s Cloud Resources Help Tame Today’s Data Windfall

To the NCI Cancer Research Data Commons, cloud computing means three words: NCI Cloud Resources. These are real-world examples of making data accessible and available to all cancer researchers. Kicking off the first of a four-part blog series, the NCI Cloud Resources share their origin story and the problems that cloud computing could solve in cancer research.

Imaging Data Commons website portal featuring a radiology image and a graph chart, Cases by Major Primary Site. Chest has the most, then brain, head and neck, breast.

Imaging Data Commons Brings the Power of the Cloud to Cancer Research

On October 20th, NCI launched the Imaging Data Commons (IDC), the latest data repository to be offered within the Cancer Research Data Commons (CRDC) infrastructure. Through the IDC, both researchers and clinicians will have access to a wide range of cancer-related images, including radiology and pathology imaging data, as well as their accompanying metadata.

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