HARNESSING THE POWER OF DATA IN CANCER RESEARCH
Access data from many sources across a virtual, expandable
Contribute to and access data across NCI and NIH
Make your data interoperable and integrated using cancer data vocabulary resources
Learn about emerging cancer research using exascale computing capabilities
Latest from CBIIT
Dr. Yanjun Qi will present, “AttentiveChrome: Deep Learning for Predicting Gene Expression from Histone Modifications,” at the Data Science Seminar on September 22. Here she describes how she’s using her computer science skills to interpret genomic data, resulting in a new way of looking at the genes underlying disease.
The Cancer Data Science Pulse Blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities.
In this webinar, Dr. Yanjun Qi will demonstrate AttentiveChrome, an attention-based deep learning approach that uses a unified architecture to model and interpret interactions and dependencies among the chromatin factors underlying gene regulation.
The Data Science Seminar Series features talks from innovators in the data science and cancer research communities both within and outside of the National Cancer Institute (NCI).