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Python for Public Health: Building Statistical Models of Ciliary Motion

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Speaker: Shannon Quinn

Cilia, microscopic hairs lining nearly every cell surface in your body, play a major role in developmental and sinopulmonary health. As such, deriving quantitative properties of their motion is compelling for both clinical and research purposes. Here we demonstrate a computational pipeline built entirely in Python for analyzing ciliary motion using a variety of machine learning techniques.

Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

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