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Additional file 4: Supplementary Fig. 2. WGCNA revealed gene co-expression networks. (A) Analysis of the scale-free fit index for various soft thresholding powers (Left) and analysis of the mean connectivity for various soft-thresholding powers (Right). (B) Network heatmap plot in the co-expression modules.

Additional file 3: Supplementary Fig. 1. Venn plot shows the common genes in the two datasets

Additional file 4: Supplementary Fig. 2. WGCNA revealed gene co-expression networks. (A) Analysis of the scale-free fit index for various soft thresholding powers (Left) and analysis of the mean connectivity for various soft-thresholding powers (Right). (B) Network heatmap plot in the co-expression modules.

Additional file 3: Supplementary Fig. 1. Venn plot shows the common genes in the two datasets

Additional file 5: Supplementary Fig. 3. Expression of genes verified by an external dataset GSE54934. (A) Boxplot shows the expression of the nine genes in prognostic risk model between meningeoma and normal samples; (B) Boxplot shows the expression of the 27 transcription factors between meningeoma and normal samples.

Additional file 5: Supplementary Fig. 3. Expression of genes verified by an external dataset GSE54934. (A) Boxplot shows the expression of the nine genes in prognostic risk model between meningeoma and normal samples; (B) Boxplot shows the expression of the 27 transcription factors between meningeoma and normal samples.

Additional file 1: Table S1. The number of DEGs obtained from three datasets.

Additional file 3: Table S3. Functional and pathway enrichment analysis of prognostic related DEGs.

Additional file 3: Table S3. Functional and pathway enrichment analysis of prognostic related DEGs.