How to perform PCA on single-cell RNA-Seq data in three simple steps

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  • Опубліковано 26 жов 2024

КОМЕНТАРІ • 9

  • @mikelawrence5507
    @mikelawrence5507 8 місяців тому

    Nice summary for reasoning behind workflow! I was looking for an example of PCA but only saw t-SNEs

  • @黄梓煊-g9u
    @黄梓煊-g9u 2 роки тому

    Really great video, thanks a lot for explaining PCA so well in such a concise way

  • @jattpigeonscorner9368
    @jattpigeonscorner9368 2 роки тому

    Great Content. Please keep uploading

  • @pariaalipour61
    @pariaalipour61 2 роки тому

    Thanks for the great video. I have a question regarding scaling step; in the scaling step as you mentioned we shouldn't multiply by like a million and the number is median/total umi count. In Seurat NormalizeData function does divide the count by total cell count and multiply to 10000 scale factor. I was wondering what is the difference?

  • @ilyasimutin
    @ilyasimutin 2 роки тому

    Thank you, great lecture!

  • @diraczhu9347
    @diraczhu9347 3 роки тому +1

    Great video, it helps !

  • @derricmorgan2282
    @derricmorgan2282 3 роки тому

    Nice video, thanks!

    • @derricmorgan2282
      @derricmorgan2282 3 роки тому

      the only thing is the sound quality, I had to adjust volume and the sound is a bit rattling.

    • @derricmorgan2282
      @derricmorgan2282 3 роки тому

      so nice that you included the links, the papers are really interesting