วีดีโอ

Like your videos!

excellent !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Isabel Court

You’re the best

God bless you , this was so helpful

Thank you for this nice explanation. I already understand what my teacher was explaining and it was not so difficult

Anne Dam

Laura, thank you so much for doing these. Even hard heads like me can follow our tutorials, amazing stuff! The world bows in amazement.

Jovanny Causeway

Troy Place

Thanks a bunch it ws extremely clear and helpful!

the best video i found regarding loadings, but you don't mention the scores

Bravissima

Thanks!

Waovv it was so nice video, like the one I am looking to

Excellent explanation!

Bahringer Rest

Zieme River

Thank you for your work! Your video helped me better understand a paper I am presenting to my lab. Clear and complete explanations 👏

Wonderfully explained! Keep up the great work, Biostasquid.

Thank you so much! Every single video is so helpful!

I generally do not like learning from videos. I would rather learn form reading, so I can go at my own pace, skip over things, etc. But I found this video extremely useful for understanding GSEA plots, which I could not figure out at all before watching this video. (I needed to understand them to explain them to students in my primary literature eukaryotic molecular biology graduate course.)

This is the best video I found on PCA! Can't thank you enough Biostatsquid!❤

Walker George Clark John Garcia Anthony

Excellent explanation

Incredibly clear ! Thank you, and congratulation

Absolutely brilliant explanation.

Helpful.

Please ma'am don't use preinputed code it is not helpful. We need how to write R script

Hi I have this error Error in `GetAssayData()`: ! GetAssayData doesn't work for multiple layers in v5 assay. Backtrace: 1. Seurat::IntegrateData(...) 2. Seurat:::PairwiseIntegrateReference(...) 5. SeuratObject:::GetAssayData.Seurat(object = object.1, slot = "data") 7. SeuratObject:::GetAssayData.StdAssay(object = object[[assay]], layer = layer) with this code combined_seurat <- IntegrateData(anchorset = seurat.anchors, dims = 1:30, new.assay.name = "integrated") during the integration of data sets. could you please help me how to solve it? thanks

Thank you so much!

Thank you so much for this explanation. I was lost trying to understand where the data came from, now i got it. Thank youuuu ❤❤❤ you're a brilliant angel

Very well explained and easy to follow! I really enjoyed the video

Check out the blogpost & code here: biostatsquid.com/remove-doublets-scrnaseq/

A big thank you!! I have this topic in my semester exams, and everyone around me is mugging up, upon asking what it is actually, they give me definitions that do not satisfy me, this single video clears a lot in understanding PCA. I wish I had a teacher like you in my college.

Thanks for the great explanation. What if the genes are enriched at both ends of the ranked list and are still significant without random distribution? That is something found in the STRING biological database. How would these terms be biologically interpreted? Some genes from our gene set contribute to the upregulation of the term, and some - to the downregulation?

Thank you for such informative, easy-to-understand content!

Great explanation! Thanks a lot <3

Although I don’t use PCA in my workday, I think this is the best video out there explaining how PCA works. Good job 👍

thanks. at the end I got confused with all the ups and downs

Hi, could you please tell me how can we exclude these doublets from analysis?

Thank you for your excellent videos-they’ve been incredibly helpful! I have a question regarding my experiment. I have two groups, and each group contains three mixed samples. I would like to compare these groups and create a volcano plot. However, since my samples are mixed, I'm unsure how to proceed with calculating p-values. Is it still possible to create a volcano plot under these conditions? Any guidance would be greatly appreciated.

are you running this on linux? According to you video your max RAM should be around 8-10GB. I tried to run it on my mac with 18GB of RAM (nothing else opened) and it maxed out. I am surprised by how efficiently your machine handles the memory

You can find the step-by-step tutorial here: biostatsquid.com/scdblfinder-tutorial/

Useful thanx

Your videos are great.Thank you! Would you please make a video on how to perform correlation of an independent variables with multiple independent variables in R? Also, correlation of a continous variable with a categorical variable?

Nice explanation. Very inspiring. Thanks a lot.

This squid's videos help me a LOT during my PhD. It saves me so much time. Thank you so much for uploading this content!! Keep it up!! I'm another biostatsquid fan :)

This video covered exactly what I needed! The basics, easy to understand, to keep learning after the basis is set! Thanks you so much!

Thanks. You're a very good teacher