Join Ramji Srinivasan for a quick tutorial on Principal Component Analysis (PCA), a data analysis tool provided on our web app. Learn how PCA can simplify high-dimensional cytometry data by reducing it to two or three dimensions without losing significant information. Understand the principles behind covariance matrices and see how PCA can identify key drivers in the variation between two large datasets.
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