Gene count normalization in single-cell imaging-based spatially resolved transcriptomics

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I'm learning how to give + record my scientific talks from home. This video is an abbreviated version of invited scientific talks I have presented and continue to present at various scientific conferences for our work on gene count normalization in single-cell imaging-based spatially resolved transcriptomics.

For additional information regarding the scientific paper referenced in this video, please see:

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  1. Prof. Jean Fan
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Комментарии
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The tutorial is hard to follow. There should be wrapper functions handles Seurat objects.

eee
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Great content, but please get a better audio setup

Brickkzz
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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.

pent
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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?

garrick