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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

You are exceptional 🤩

Exceptional. Thanks 🎉

I have been struggling to understand PCA for days 🤯, despite reading many articles and watching countless videos, but this is by far the best and easiest to understand explanation, thank you!! 🥳

In your example, is the relation linear and is that always the case ? I think I understand that if the HR for age is 1.2, it means that an increase of one year results in 20% more risk of the event. So what about 2 years older ? Would it mean 1.2*1.2=1.44 so 44% more risk ? Thank you for the video !

p > 0.05?

Thank you for the explanation :D

Great explanation!

Very good video, please do not stop!

You are doping a great job. I know it is time consuming, but dont give up.

Thank you so much for this video! I have a question regarding the forest plot of the cox regression, can we add the global p-value (summary) to the forest plot? is there any way? I would appreciate your help with this!

Very informative session 👍🏻

Please say loudly

I am a bit confused by the hazard ratio. It seems like its group A is HR times as like to die as group B. So in the smoking example where smoking had a hazard ratio of 7.4. I took non_smokers as 0 being group A and smokers as 1 being group B. Would this mean that non-smokers were 7.4 times as likely to die compared to smokers?

The P value for the red smarties still says P > 0.05 (1:28), whereas it should be P < 0.05. Same for 2:12.

Amazing work

Here's part 1: ruclips.net/video/5zDA9EdJa-0/видео.html

A very clear and engaging introduction to PCA. It was new to me, and I came away with a good impression of how it would be used. Thanks very much!😀

The differential data that you loaded in the r script initially, which has approx 30 thousand something genes and four variables, are they pre-processed data, like removing the duplicates and adjusting the p values and log FC?? Or are they raw data tT saved from r script?

Hi there. Your videos are really helpful. Can you make a video on RNA sequencing profile?

This is really helpful , thank you!

Hi Dear Biostatsquid, can you please check out Plotnine in Python too? It provides a great visualization for statistical outputs. 😊

Here's the link to the step-by-step tutorial: biostatsquid.com/easy-violin-plots-tutorial-ggplot2/

Amazing. Thank you

Hi. This is a nice video. I am new to data visualisation and I find it very complex as to how to memorise the code or understand how to use it with various datasets. Could you please share some tips on how you do that?

Your videos are great and very easy to follow. For the background genes, how do you download GSEA GMT files for only genes expressed in the specific tissue you are interested in.

This was very helpful, your way of teach just keep me engaged and understanding, thanks ❤

Thank you for a very nice video. I have trouble understanding the fold change for gene 1 in the table example. Wouldn't the fold change (FC) be 3 (9 divided by 3) and log2(FC) 1.585?

Tus videos me estan ayudando muchisimo!!! Sigue asi!!

Could you please make a video on DEWSeq or any other tool to analyse the eCLIP data to find the motifs in rna through which it is bound to a protein

Absolutely amazing! Thank you for doing this! Great job

Your accent is very good. Thank you!

This is great 👍, it was well explained.

Thank you, very useful !

Eres la mejor!! Saludos desde Colombia :)

Can you do a video for pathway enrichment analysis using pathfindR package in R

Whole world creator's godfather bless you all always and you all love and remember godfather with your pure hearts.

Thank you for explaining it well.. Can you pls provide information on the inputs needed to perform ssGSEA ...

Thank you for this amazing video!

How to explain which factors contribute to PC1 and PC2? by biplot graph.

This was such an informative video! Helped explain so much for me as I have never been exposed to Volcano plots before. Will definitely be tuning in more for more videos! Thank you.

I'm currently watching without logging into my Google account. 😊 However, halfway through, I made the decision to log in, hit the like button, and subscribe to your channel. 🎉 Thank you for your valuable content-it's truly helpful, and I encourage you to keep up the great work! 👍

Thank you so much!!

Thank you for a very clear explanation

Thanks for uploading the valuable video. I could not install the Rqc and QuasQ packages in R 4.3.2. Do you think I should use a lower version?

Hi thank you so much for explaining PCA in such a clear way. I've been really stressed about understanding it for my uni stats exam, but now I feel much more confident :)