Cancer Cell Evolution Visualization

This is the final project for CSE442: Data Visualization at the Paul G. Allen School of Computer Science & Engineering at University of Washington.

The team put the focus on one of the most challenging task in medication research: drug resistance. The idea is largely hidden under microscopes and abstract mathematical models, making itself intimidating for a lot of patients and the general audience. The team selects two scenarios under drug resistance research: drug resistance with one drug and drug resistance with two drugs. We hope the animation and visualization centering around the number of drug-susceptible cells and drug-resistant cells can help the general audience understand how drug works and how timely drug interventions can help limit cancer development.

Some screenshots of the project.

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area graph showing the number of cells(susceptible and resistant) with respect to time and medical intervention using one drug.

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network graph showing the distribution of different kinds of cancer cells under a specific week using two drugs.

More on the visualization and the exploratory journal, check out the website.

Project also credits to Yukai Yan, Feiyou Guo and Yu Xin.

Zhennan Zhou