Bob Ziyang Ding (Math/Stats) and Daniel Chaofan Tao (ECE) spent ten weeks understanding how deep learning techniques can shed light on single cell analysis. Working with a large set of single-cell sequencing data, the team built an autoencoder pipeline and a device that will allow biologists to interactively visualize their own data.
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Disciplines Involved: Biology, Biomedical Engineering, PreHealth/PreMed, Biostatistics, all Quantitative STEM
Project Lead: Cliburn Chan
Project Manger: Kuei Yueh Ko
