Cancer Data Science Pulse

The Cancer Data Science Pulse blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities from professionals dedicated to building a national cancer data ecosystem that enables new discoveries and reduces the burden of cancer.

Get to know David Kepplinger, Ph.D., who will present the next Data Science Seminar, “Robust Prediction of Stenosis from Protein Expression Data. ” In this Q&A, he describes who should attend the talk, how his topic relates to cancer, and why it’s important to delve into unexpected data values when conducting biostatistical analysis.

To commemorate the National Cancer Act’s 50th anniversary, we’ve pulled together Five Data Science Technologies poised to make a difference in how cancer is diagnosed, treated, and prevented.

On November 3, Dr. Duran will present the next Data Science Seminar, “Social Determinants of Health.” This blog offers insight into Dr. Duran’s work and why this topic is important to her.

Much of our current understanding of the microbiome’s role in cancer can be attributed to advances in DNA sequencing and data science. Here, we look at a key NCI-supported bioinformatics tool called QIIME 2, which is helping us better understand the microbiome and its impact on disease.

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.

Technological advancements, such as machine learning and artificial intelligence, have made open data sharing more complex and put new pressure on existing laws that protect data privacy. This blog examines the privacy processes and policies that are helping address privacy concerns in today’s ever-changing “big data” landscape.

CBIIT Director Dr. Tony Kerlavage loves data. He also loves to solve puzzles. In this blog, Dr. Kerlavage describes how advances in data and technology are helping us find solutions to some of today’s most pressing cancer-related questions. According to Dr. Kerlavage, there’s no problem too hard to solve and no question that we shouldn’t bother asking.

We love how data science is changing the way we look at the world. In this latest blog, Drs. Kibbe and Almeida discuss why they love data and how scientific methods can help us better understand our natural world, our universe, and ourselves.

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.

Data have been the driving force behind a number of important scientific discoveries. In this latest blog, Dr. Jerry Li describes how data helped power technological advances to unravel the human genome. What’s the next big advance? According to Dr. Li, the blending of data and artificial intelligence is the fastest moving area of research and has the potential to once again revolutionize scientific discovery.