Deep Learning for Single Cell Analysis

Project Summary

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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Themes and Categories
Year
2018
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: Biology, Biomedical Engineering, PreHealth/PreMed, Biostatistics, all Quantitative STEM

Project Lead: Cliburn Chan

Project Manger: Kuei Yueh Ko

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