I have been searching the internet for the pass two days to understand Deseq2 analysis. This is the best and the only tutorial that has put me through. Especially that plot damn! Thanks for breaking it down the way you did. It was so confusing because I had no idea what it meant, not the dots nor the colors. God bless you. At first I was struggling to hear you, but I eventually picked up, and you were clear as crystal.
Thank you so much for the explanation! Could you elaborate more about p adjusted value at 17:45 when you mentioned that it is for multiple gene comparison? Specifically, how does it relate to multiple gene comparisons? Does it account for the high number of differentially expressed genes we found?
Thanks for such an informative video but I'm very confused by the table at @ 12:02. I don't get how you can get a mean of 1 and variance of 0.2 for [1,1,1.2].
Hello, thank you for the informative video, I would like to calculate log2 Fold Change of my data. My datas have already been log10 transformed for other analysis. How should I calculate log2 Fold Change on log10 data? Thank you in advance
Great video! very informative! one thing I'm a little confused about is around 11:00, Isn't it loge transform that you are trying to say instead of log2?
Hi Sungeun, I meant that data is transformed on the log2 scale, and the size factor is then obtained by back-transform by raising 2 to the power of the data. -Lindsey
@@LiquidBrain Dear Lindsey, thank you so much for your Great video, I had the same question, and when I read your answer, I convinced, But sth that I don't understand is that how you raise 2 to the power of data (here 0.786 & 1.214) and the answer is less than 1?
I have been searching the internet for the pass two days to understand Deseq2 analysis. This is the best and the only tutorial that has put me through. Especially that plot damn! Thanks for breaking it down the way you did. It was so confusing because I had no idea what it meant, not the dots nor the colors. God bless you. At first I was struggling to hear you, but I eventually picked up, and you were clear as crystal.
Thank you so much, this video is helping me a lot! Congratulations for the excelent work.
Very useful video, exactly what I was looking for.
You killed DESeq2 in just 20 minutes Excellent. God Bless.
This is a fantastic video. Thank you so much!
One note: @ 18:15 Log2FC ==0 may certainly be relevant in some circumstances!
Thank you again for another clear and excellent and useful lesson.
This is one of the best videos on this subject I have seen. Very clear too!
Thank you so much for the explanation! Could you elaborate more about p adjusted value at 17:45 when you mentioned that it is for multiple gene comparison? Specifically, how does it relate to multiple gene comparisons? Does it account for the high number of differentially expressed genes we found?
Thank you very much for help, God bless you.
very clean and useful, Thank you.
@ 7:22 I felt so sorry for sample A 🙈
Thank you so much for that video, it helped a lot!!!
This is very informative. I like your examples. Thank you very much.
Excellent explanation
Thank you so much!.
This video helped me a lot in wirting my Master's thesis :)
excellent!!!
Thank you so much for your presentation
Why we check adjusted p-value not p-value to check whether we reject the null hypothesis or not in DESeq2?
This is great. Thanks so much for making this video. Its really helped me.
Thank you.
Have you ever worked with RT-qPCR and elaborate some pathway analysis
Well explained!
Thank you
This is great
This was a great video, thank you very much !!
Thanks for great lecture!!
Thank you for your work!!!
very informative...now deseq2 analysis seems to be easy.
Great Video. I wish there weren't so many advert interruptions in between.
ad...(cough, cough) bloc... {cough cough)
@@LiquidBrain Not possible to install those in work computers 😬😒
@@bnits007 get premium - life changing
Thanks for such an informative video but I'm very confused by the table at @ 12:02. I don't get how you can get a mean of 1 and variance of 0.2 for [1,1,1.2].
Please how p-values are calculated in the results table from Wald-test?
Hello, thank you for the informative video,
I would like to calculate log2 Fold Change of my data.
My datas have already been log10 transformed for other analysis. How should I calculate log2 Fold Change on log10 data? Thank you in advance
For normalised data, it’s better to use the statistical methods such as t test or Krustal Wallis test directly. Hope this helps :) - Lind
is there an option to get that presentation?
Great video! very informative! one thing I'm a little confused about is around 11:00, Isn't it loge transform that you are trying to say instead of log2?
Hi Sungeun, I meant that data is transformed on the log2 scale, and the size factor is then obtained by back-transform by raising 2 to the power of the data. -Lindsey
@@LiquidBrain Dear Lindsey, thank you so much for your Great video, I had the same question, and when I read your answer, I convinced, But sth that I don't understand is that how you raise 2 to the power of data (here 0.786 & 1.214) and the answer is less than 1?
your english is hard to understand but awesome video thank you
Thank you, will try to improve by adding subtitles :)
@@LiquidBrain Your English is Not bad. Try to Not speak too fast, Great video.