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?
We generally consider current SRT techniques to be either imaging-based (including MERFISH, Xenium, STARmap, etc as discussed in this video) or sequencing-based (including Stereo-seq, Slide-seq, Visium, etc). For SRT techniques that provide full transcriptome profiling (including most sequencing-based SRT techniques), the assumptions underlying library size normalization should be satisfied.
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.
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?
We generally consider current SRT techniques to be either imaging-based (including MERFISH, Xenium, STARmap, etc as discussed in this video) or sequencing-based (including Stereo-seq, Slide-seq, Visium, etc).
For SRT techniques that provide full transcriptome profiling (including most sequencing-based SRT techniques), the assumptions underlying library size normalization should be satisfied.
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.
Use the Closed Captioning.
Great content, but please get a better audio setup
The tutorial is hard to follow. There should be wrapper functions handles Seurat objects.