Thank you for taking your time and giving an introduction to WGCNA :)
@KN-tx7sd
2 жыл бұрын
Thank you, this is an excellent and clear presentation, mentioning the strengths and weaknesses of WGCNA. Can clarify whether WGCNA could be applied to metabolomics datasets. I'm seeing more and more papers using this approach. Do we need a minimum number of samples in such datasets and do we need to make any tweaks in the software to accommodate metabolites and lastly how could the interpretation be different from gene expression networks.
@eaturfeet653
3 жыл бұрын
This clears up so much for me! I just recently started getting deep in to transcriptomic analysis for my PhD. Thank you for this!
@asiyazhao3820
3 жыл бұрын
Hi thanks for your video. just a quick question, do you adjust p-values for spearman correlation before you merge the correlation data? thank you very much
@ryankelly9302
3 жыл бұрын
Great video! Do you guys plan to do a tutorial on the WGCNA R package? Think it would go great with this video if you were able to use it with some RNA-seq data.
@LiquidBrain
3 жыл бұрын
Ya, it's actually in the pipeline way before this video. But a full pipeline takes a lot of plan , film, edit and stuff~but hopefully we can get it done soon
@ryankelly9302
3 жыл бұрын
@@LiquidBrain Great to hear! I look forward to that video!!
@jianjiang8234
3 жыл бұрын
@@LiquidBrain I'm also looking forward to the video.
@grsbiosciences
2 жыл бұрын
Great explanation, how to know which module has genes related to a.particular phenotype. So how I relate my modules to traits in my case
@LiquidBrain
2 жыл бұрын
Hi good question, you may refer to my tutorial videos. Part 1: kzitem.info/news/bejne/xa2NzqFtcZxpjIo , Part 2: kzitem.info/news/bejne/loya1m2FpmWYdJw Happy learning! - Lind
@xudongwang-je6vo
6 ай бұрын
YES, IT IS VERY VERY HELPFUL FOR ME, THANK YOU!!! SO MUCH!!!
@angelac.1653
2 жыл бұрын
This video was great, thank you so much for making it! I've been trying to apply transcriptional gene modules to a project I'm working on. The approach I read about (Deep Extraction Independent Component Analysis) used ICA and artificial neural networks to identify the modules (the authors created the DEXICA package for R). WGCNA is an interesting comparison.
@LiquidBrain
2 жыл бұрын
Glad it was helpful! The approach you mentioned looks new to me, will be great if it improves/overperforms the statistical algorithm by WGCNA
@OrlandoG
3 жыл бұрын
Very good informatiion. Thank you for sharing this. 👍 Please don´t take this the wrong way, I know english isn´t your first language, but I find it difficult to understand your sentences at times because of your pronunciation. Thanks again and I look forward to more videos.
@LiquidBrain
3 жыл бұрын
Thanks for your feedbacks. It brings me pure joy whenever I’ve finally understood something and able to share it around! I’m working to put up the subtitle there and glad that you found this video helpful :)
@shinjayson6432
Жыл бұрын
This is wonderful. Thank you very much.
@grsbiosciences
2 жыл бұрын
Madam I have gene expression data of control and drug treated, what I can find with WGCNA for my data
@LiquidBrain
2 жыл бұрын
Hi you may try to explore more about its application from the official website: horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
@mightyowl1668
2 жыл бұрын
Amazing video! Please keep making these!!
@aayushinotra5775
2 жыл бұрын
Hi can you please tell me how to install WGCNA R package. It would be great if you could help
@LiquidBrain
2 жыл бұрын
Hi here's the script for installation: install.packages("BiocManager") BiocManager::install("WGCNA") you may refer to my tutorial videos too. Part 1: kzitem.info/news/bejne/xa2NzqFtcZxpjIo , Part 2: kzitem.info/news/bejne/loya1m2FpmWYdJw Happy learning! - Lind
@ruchichauhan5412
3 жыл бұрын
This was very helpful! Thanks a lot
@Unaimend
2 жыл бұрын
To which paper are referring to at 8:40?
@LiquidBrain
2 жыл бұрын
Hi Thomas, did you refer to the dynamic tree cut? I got it from the official WGCNA tutorial website (horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/FemaleLiver-02-networkConstr-auto.pdf) -Lind
@jamesgalante993
2 жыл бұрын
Thanks!
@MrRamaeri
3 жыл бұрын
thank you
@PeihuiBrandonYeo
3 жыл бұрын
interesting
@WalyB01
3 жыл бұрын
Bad rehash of some else her video. Not cool using some else her slide!
@lindseyliquidbrain7139
3 жыл бұрын
We all are learning along the way. I did not rehash but try to summarize what I've learned after taking a long time to digest the formal knowledge sources (e.g. publication, tutorials, or webinar). You could just go ahead to read and study via the original sources as I cited above if you preferred.
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