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principle component analysis (pca) plots, heat maps and unsupervised hierarchical clustering  (Qlucore Inc)

 
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    Qlucore Inc principle component analysis (pca) plots, heat maps and unsupervised hierarchical clustering
    Principle Component Analysis (Pca) Plots, Heat Maps And Unsupervised Hierarchical Clustering, supplied by Qlucore Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/principle+components+analysis+plot/pm25027758-61-7-16?v=Qlucore+Inc
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) plots, heat maps and unsupervised hierarchical clustering - by Bioz Stars, 2026-08
    90/100 stars

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    Principle component analysis (PCA) of the sequencing data. A 3D PCA plot shows segregation of the control diet samples from the cuprizone diet samples. The variance is higher in the Gli1 Het samples compared to the Gli1 Null samples.

    Journal: Scientific Data

    Article Title: Transcriptomic analysis of loss of Gli1 in neural stem cells responding to demyelination in the mouse brain

    doi: 10.1038/s41597-021-01063-x

    Figure Lengend Snippet: Principle component analysis (PCA) of the sequencing data. A 3D PCA plot shows segregation of the control diet samples from the cuprizone diet samples. The variance is higher in the Gli1 Het samples compared to the Gli1 Null samples.

    Article Snippet: A 3D Principle Component Analysis (PCA) plot visualized by Plotly (Fig. ) showed clustering of the samples in the control diet groups from both Gli1 Het and Gli1 Null neural stem cells; similarly the cuprizone diet RNA samples from both genotypes clustered together but away from the control diet groups.

    Techniques: Sequencing, Control