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In this video tutorial, Josh Stommer discusses the key concepts of principal component analysis (PCA) in a concise manner. He explains how PCA can be used to identify differences in normal cells based on gene activity, even if they appear to be the same externally. By analyzing messenger RNA sequencing data, researchers can uncover patterns and relationships between different types of cells. This method can be applied to various fields beyond biology, such as identifying differences between people, cars, or cities. For more details, viewers are encouraged to watch Stommer's other PCA video.
