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    Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial

    LiquidBrain Bioinformatics0.0
    23 minutes
    English
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    Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial

    YouTube·Data Analysis

    Explore single-cell RNA sequencing analysis using the Seurat package in this 23-minute tutorial. Learn how to import and preprocess data, perform quality control, normalize datasets, and cluster cells using PCA and UMAP techniques. Discover methods for identifying marker genes and visualizing analysis results. Follow along with a script adapted from Satija Lab, covering essential steps from package import to data integration. Gain insights into overcoming dilution effects in RNA-seq experiments and understanding cellular interactions within closely grouped cells.

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