Research Paper Volume 16, Issue 16 pp 11824—11842
Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach
Figure 1. Dataset merging. (A) Gene expression boxplots of the merged dataset after batch correction. (B) Gene expression density plots of the merged dataset after batch correction. (C) Uniform Manifold Approximation and Projection (UMAP) analysis of the merged dataset after batch correction.