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In this Stat Quest video, Josh Stommer explains the main concepts of principal component analysis (PCA) in five minutes. He uses the example of normal cells to demonstrate how PCA can uncover differences in data that may not be visibly apparent. By sequencing messenger RNA in each cell, scientists can identify which genes are active, providing insights into the cell's function. This technique can be applied to various fields to analyze and interpret complex data sets.
