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Principal Component Analysis (PCA) clearly explained (2015)

NOTE: On April 2, 2018 I updated this video with a new video that goes, step-by-step, through PCA and how it is performed. Check it out!
https://youtu.be/FgakZw6K1QQ

⭐ NOTE: When I code, I use Kite, a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=statquest&utm_content=description-only

RNA-seq results often contain a PCA or MDS plot. This StatQuest explains how these graphs are generated, how to interpret them, and how to determine if the plot is informative or not. I've got example code (in R) for how to do PCA and extract the most important information from it on the StatQuest website: https://statquest.org/2015/08/13/pca-clearly-explained/

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0:00 Awesome song and introduction
1:45 An introduction to dimensions
6:29 Why we can omit dimensions
8:53 Principal components in terms of variance and covariance!!!
12:47 Transforming samples with loading scores
17:49 Review of main ideas
19:11 Scree plots for diagnostics
19:39 Loadings and Eignvectors
#statquest #PCA

Видео Principal Component Analysis (PCA) clearly explained (2015) канала StatQuest with Josh Starmer
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13 августа 2015 г. 22:37:04
00:20:16
Яндекс.Метрика