改写 Given the heterogeneity of stemness characteristics based on the expression patterns of these mRNAsi phenotype-based DEGs we utilized unsupervised consensus clustering to construct a specific stemn

We employed unsupervised consensus clustering to establish a stemness-based categorization of HCC patients utilizing the expression patterns of mRNA signature phenotype-based DEGs, taking into consideration the heterogeneity of stemness characteristics.