Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Decoding Schizophrenia: Single-Cell Insights
This chapter explores the complexity of systemic diseases like schizophrenia by emphasizing single-cell analysis to identify cellular changes. It discusses methodologies such as domain adaptation and generative models to compare cell types across normal and affected individuals. The conversation centers on optimizing data analysis techniques to better understand the interactions and behaviors of cells within biological systems.
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