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Thank you❤

The tutorial is hard to follow. There should be wrapper functions handles Seurat objects.

Thanks for the video, for imaging-based SRT techniques such as Stereo-seq where they capture the entire transcriptome, is it safe to assume that tranditional library size normalization is appropriate?

Great content, but please get a better audio setup

Thanks for sharing it, but the echo is too severe, making it difficult to hear clearly. Because the background is dark, the icon may too dim to see clearly. Appreciated your sharing again.

Thank you, Jean.

Clever twist.

Disappointing!!

Nice glasses❤

Does it work with Geomx data?

Whatever it is, it's not worth it anymore.

Thank you Prof. Fan. I got the below error when tried to run "decont_obj <- spotclean(mbrain_obj)" Warning: No layers found matching search pattern provided Error in match.arg(arg = method, choices = names(x = methods)) : 'arg' should be one of ". Could you please help me?

nice

Omg thank you Prof Jean Fan. As a student self learning bioinformatics for my research, I have really learnt a lot from watching your video as you work through the data with full details on how to troubleshoot etc. I hope you continue making live sessions!

Deconvolution of cell type contributions of pixelsWITHIN a cell?

Wish the world had much many professors like you! And also lovely doggos

Man I wish my professors were so cool!

!!! love this

thought provoking!

Great video! Thank you so much!

OMG Professor Fan!! You look so good here 😊

great videos, very helpful! Will you by any chance also analyse Xenium spatial transcriptomics data from 10X?

Can you teaching how to integrating Spatial Transcriptomic with multiple single cell data, Thank you!

Really inspiring, "And when the occasion arises, people must be able to think and to decide to disobey"

Thank so much for your video, It really helpfull to me. I hope you could pub more video about Spatial Transcriptomics

Thank you Does it mean, that if one is using SpaceRanger v2 to process the sequencing Visium data, using STdeconvolve in R is unnesecary afterwards? best

Darn. She said the dreaded 'H' word..😒

Professor JEAN U are such a DREAM✨

is it correct to say: "what "Genes" are localized to subcellular compartments"? I understand the definition of a Gene as DNA fragment, and the localization you are referring to is "Gene expression" or RNA, as opposed to "genes".

Hello Dr. Fan, Thank you so much for quality videos. Could you please teach how to perform DEG analysis in two different spatial transcriptome datasets?

Having a video like this but in Python would be great!

Coollll! Benefits a lot from your course. Keep going Dr. Fan!

:(

Nope. He is too demanding.

This is so unfair 😢

He does not deserve your effort and the spent IO/threads.

Could have just said day in the life of a professor....

Thank you, Dr., Please keep doing these videos! they are very helpful

Hi Prof. Fan, thank you so much, very nice tools! And very cute dog :)

I love your videos. 😊

wow how does the deconvolution algorithm in 6:49 work? it looks SO much like a warren prell (brown university) paper

If only other professors were as online as you are. ARE YOU INTERESTED IN AGING RESEARCH? SPATIAL TRANSCRIPTOMICS OF AGING COCKATOOS?

Amazing presentation 🤩. I loved how you made it easier to comprehend for anyone. Thank you 🙏. I hope to see more videos from you in the future 😊.

Thank you, thank you from the bottom of my heart for dedicating your time to making this valuable and informative course available for poor students like me, Prof. Jean Fan 🥰Dear Madam, I wish you all the best in year 2023! Please take great care, Prof. Fan ❤

these types of raw videos with live debugging is super helpful. Thank you so much!

Great tutorial type lectures. Hope to learn more from you. Have subscribed to you for a while. Really useful!

I hope you make more videos, Thanks and keep going 🍀🙏

Great stuff, thanks very much Jean.

Beautifully put together slides and very exciting work! Thank you.

☀️ ρɾσɱσʂɱ