Research Paper Volume 16, Issue 20 pp 13076—13103
A lactate metabolism-related gene signature to diagnose osteoarthritis based on machine learning combined with experimental validation
Figure 4. The unsupervised clustering based on the expressions of NDUFB9 and SLC2A1. (A) 50 cartilage samples were divided into two different clusters using the consensus clustering algorithm. (B) Principal Component Analysis was performed to confirm the reliability of the clustering. (C) The clustering was associated with OA features. (D) The expressions of NDUFB9 and SLC2A1 were significantly altered in these two clusters. (E) 190 genes, which were differentially expressed between cluster 1 and cluster 2, were identified. (F) The functional enrichment of the 190 genes. ***P < 0.001.