StatQuest DESeq2 part 1 Library Normalization

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=UFB993xufUU

DESeq2 is a complicated program used to identified differentially expressed genes. Here I clearly explain the first thing it does, normalize the libraries. • There is an error at 9:28: I have log(reads for gene X) - log(average for gene X), but it should be: log(reads for gene X) - average(log values for gene for gene X). We are subtracting the geometric mean from each gene measurement. • For a complete index of all the StatQuest videos, check out: • https://statquest.org/video-index/ • If you'd like to support StatQuest, please consider... • Buying The StatQuest Illustrated Guide to Machine Learning!!! • PDF - https://statquest.gumroad.com/l/wvtmc • Paperback - https://www.amazon.com/dp/B09ZCKR4H6 • Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC • Patreon: / statquest • ...or... • YouTube Membership: / @statquest • ...a cool StatQuest t-shirt or sweatshirt: • https://shop.spreadshirt.com/statques... • ...buying one or two of my songs (or go large and get a whole album!) • https://joshuastarmer.bandcamp.com/ • ...or just donating to StatQuest! • https://www.paypal.me/statquest • Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: • / joshuastarmer • Correction: • 9:28 I have log(reads for gene X) - log(average for gene X), but it should be: log(reads for gene X) - average(log values for gene for gene X). We are subtracting the geometric mean from each gene measurement. In other words, if you take 'the average of reads' to be the geometric average, it all hangs neatly together. • #statquest #rnaseq #deseq2

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