Skip to main content
Fig. 1 | Journal of Orthopaedic Surgery and Research

Fig. 1

From: A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning

Fig. 1

Identification of DEGs. a The dataset of GSE17755 was normalized by robust multi-array (RMA) and the result was shown in the box-plot. The x-axis was the samples and the y-axis was the gene expression levels. b The principal component analysis (PCA) based on the mRNA expression value of the samples was performed, in which the dots with different colors represented samples in different groups. The distance of the dots represented the similarity of mRNA expression of the samples. c Volcano plot filtering map displayed DEGs in the RA samples compared with the normal samples. The x-axis was the Log2fold change (FC) and the y-axis was −log10 (FDR). d The DEGs were presented by heatmap. The x-axis was samples and the y-axis was DEGs, in which red and green represented the expression level of genes, respectively

Back to article page

Journal of Orthopaedic Surgery and Research

ISSN: 1749-799X