Bioinformatics-based identification of critical biomarkers for pathogenesis and prognosis of non–muscle-invasive bladder cancer

The supplementary materials of article "Bioinformatics-based identification of critical biomarkers for pathogenesis and prognosis of non–muscle-invasive bladder cance".Supplementary Materials: The following are available online at www.mdpi.com/xxx/s1, Figure S1: Normalisation of gene expression, Figure S2: DElncRNAs and DEmiRNAs in patients with NMIBC, Table S1: The clinical information of the samples in each dataset, Table S2: Information of the integrated DEGs, Table S3: GO terms enrichment analysis of DEGs, Table S4: GO terms analysis of hub genes, Table S5: KEGG enrichment of genes in the hub modules, Table S6: Genes correlated with CDH1 based on CCLE database, Table S7: Representative signalling pathways enriched in phenotype of high and low expression of CDH1 in BC cell lines, Table S8: The miRNAs related to hub genes, Table S9: The miRNAs paired with DElncRNAs and hub genes.