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

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  • เผยแพร่เมื่อ 23 ก.ย. 2024
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    DOI of this video (for citations): doi.org/10.528...
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    References:
    Batson, Joshua, Loïc Royer, and James Webber. “Molecular Cross-Validation for Single-Cell RNA-Seq.” BioRxiv, September 30, 2019, 786269. doi.org/10.110....
    Grün, Dominic, Lennart Kester, and Alexander van Oudenaarden. “Validation of Noise Models for Single-Cell Transcriptomics.” Nature Methods 11, no. 6 (June 2014): 637-40. doi.org/10.103....
    Hafemeister, Christoph, and Rahul Satija. “Normalization and Variance Stabilization of Single-Cell RNA-Seq Data Using Regularized Negative Binomial Regression.” Genome Biology 20, no. 1 (23 2019): 296. doi.org/10.118....
    Hsu, Lauren L., and Aedin C. Culhane. “Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data.” Frontiers in Oncology 10 (2020). doi.org/10.338....
    Sun, Shiquan, Jiaqiang Zhu, Ying Ma, and Xiang Zhou. “Accuracy, Robustness and Scalability of Dimensionality Reduction Methods for Single-Cell RNA-Seq Analysis.” Genome Biology 20, no. 1 (10 2019): 269. doi.org/10.118....
    Townes, F. William, Stephanie C. Hicks, Martin J. Aryee, and Rafael A. Irizarry. “Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model.” Genome Biology 20, no. 1 (23 2019): 295. doi.org/10.118....
    Tsuyuzaki, Koki, Hiroyuki Sato, Kenta Sato, and Itoshi Nikaido. “Benchmarking Principal Component Analysis for Large-Scale Single-Cell RNA-Sequencing.” Genome Biology 21, no. 1 (20 2020): 9. doi.org/10.118....
    Wagner, Florian, Dalia Barkley, and Itai Yanai. “Accurate Denoising of Single-Cell RNA-Seq Data Using Unbiased Principal Component Analysis.” BioRxiv, June 17, 2019, 655365. doi.org/10.110....
    Wagner, Florian. “Monet: An Open-Source Python Package for Analyzing and Integrating ScRNA-Seq Data Using PCA-Based Latent Spaces.” BioRxiv, 2020. doi.org/10.110....

ความคิดเห็น • 9

  • @黄梓煊-g9u
    @黄梓煊-g9u 2 ปีที่แล้ว

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

  • @mikelawrence5507
    @mikelawrence5507 6 หลายเดือนก่อน

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

  • @jattpigeonscorner9368
    @jattpigeonscorner9368 2 ปีที่แล้ว

    Great Content. Please keep uploading

  • @ilyasimutin
    @ilyasimutin 2 ปีที่แล้ว

    Thank you, great lecture!

  • @diraczhu9347
    @diraczhu9347 3 ปีที่แล้ว +1

    Great video, it helps !

  • @pariaalipour61
    @pariaalipour61 2 ปีที่แล้ว

    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?

  • @derricmorgan2282
    @derricmorgan2282 3 ปีที่แล้ว

    Nice video, thanks!

    • @derricmorgan2282
      @derricmorgan2282 3 ปีที่แล้ว

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

    • @derricmorgan2282
      @derricmorgan2282 3 ปีที่แล้ว

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