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Fig. 1 | BMC Genomics

Fig. 1

From: Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets

Fig. 1

Unsupervised hierarchical clustering of VL-blood. Unsupervised hierarchical cluster analysis of the 1346 most variably expressed genes across the 14 arrays (blood samples of 8 VL patients and 6 healthy controls) was performed. a The dendrogram demonstrates a clustering of VL patients from healthy individuals revealing a molecular classification based on “disease-state”. b Principal components analysis (PCA) displays a scatter plot showing clear spatial separation of the samples (octahedrons) that are connected to a centroid sphere, with no outliers; In the 3-dimensional plot, the three principal components PC#1, #2 and #3 of all samples with all probeset IDs and their respective expression variations are plotted on the x-, y- and z- axes. The total percentage of PCA mapping variability is 67.9%. Color assignations of vitiligo patient (orange) and healthy controls (green) were made after examination of distribution of samples

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