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The filtered gene-cell matrix were processed using the Seurat package (v.4.3.0) 70 , which included normalization using the NormalizeData function to obtain normalized UMI (unique molecular identifier) count data, scaling, and centering the data using ScaleData , finding the most significant principal components (PCA) using RunPCA and using the ElbowPlot to determine the number of principal components used for clustering
Distribution of macrophage polarization markers in human atherosclerosis
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Hempel et al
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