Fig. 1

The consensus clustering analysis of HCC samples based on mRNA levels of human nuclear receptors. a The cumulative distribution function (CDF) of clustering (k, 2-10). b The relative changes of the area in the CDF curve (k, 2-10). The horizontal axis is the numbers of clusters (k), and the vertical axis is the relative changes of the area in the CDF curve. c The consistency matrix of sample with k = 4. d The heatmap of the expression of NRs in the four types of samples. The rows represent genes, the columns represent samples, red indicates high expression, blue indicates low expression, and the categories of samples are marked with different colors on the top of the heatmap. e The principle component analysis (PCA) of HCC samples. The points of different colors represent samples of different groups. The distance among the points is closer, the expression of NRs is more similar. f The Kaplan-Meier survival curve of HCC patients. The horizontal axis represents time, the vertical axis represents survival rate, and the color represents different groups. P value is calculated by log-rank test