Fig. 2 | Scientific Reports

Fig. 2

From: Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach

Fig. 2

Data normalization. (A,B) PCA of RNA-Seq data highlighting clusters among the samples. X-axis and Y-axis represent the first principal component (PC1) and the second principal component (PC2), respectively. (C,D) UMAP of the microarray datasets identifying two outliers in both datasets. Each circle represents an individual, with varying colors denoting the different treatments. (E) Specific contrast depicts the distribution of adjusted p-values for each analysis, revealing a substantial number of significant genes in monocyte, fibroblast, and keratinocyte cell types.

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