Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

2019-04-15

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Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis. Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores single cell genomics as a means of disease identification for treatment. In our conversation, we discuss how Gerald and his team use deep learning to generate novel insights across diseases, the different types of data that was used, and the development o...

Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis.

Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores single cell genomics as a means of disease identification for treatment. In our conversation, we discuss how Gerald and his team use deep learning to generate novel insights across diseases, the different types of data that was used, and the development of ‘nested’ Generative Models for single cell measurement.

The complete show notes for this episode can be found at https://twimlai.com/talk/251.

Visit twimlai.com/gtc19 for more from our GTC 2019 series.

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