Showing 1 - 9 results of 9 for search 'differences harmony algorithm', query time: 0.09s Refine Results
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    Single-cell RNA sequencing analysis reveals the expression patterns of the prognostic signature across cellular subpopulations. by Xiangxin Wu (22320058)

    Published 2025
    “…(C) Batch effect correction and data normalization using the Harmony algorithm. (D, E) UMAP and t-SNE visualizations showing the distribution of 22 distinct cell subtypes. …”
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    <b>A Single-cell Transcriptomic Sequencing Dataset of Early Female and Male Chicken (</b><b><i>Gallus gallus</i></b><b>) Embryos</b> by Zhi Cao (20682218)

    Published 2025
    “…To correct for potential batch effects, the Harmony algorithm was applied. For clustering, the FindClusters function was used with a resolution of 0.4, followed by dimensionality reduction and visualization using uniform manifold approximation and projection (UMAP) and t-distributed stochastic neighbor embedding. …”
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    Single-cell sequencing revealed that <i>SH3D21</i> caused activation of PI3K/AKT signaling pathway in HCC. by Wangxia Tong (188802)

    Published 2025
    “…<b>(B)</b> For clustering of cells after the batch correction was performed using the harmony algorithm. <b>(C)</b> Expression of the various cell marker genes in clustering cells. …”