Research Paper Volume 13, Issue 5 pp 6957—6981
Identification of a ten-long noncoding RNA signature for predicting the survival and immune status of patients with bladder urothelial carcinoma based on the GEO database: a superior machine learning model
Figure 11. (A) The difference in tumour-infiltrating immune cells among risk groups as defined by the 10-lncRNA prognostic signature. (B) The difference in infiltration score among risk groups as defined by the 10-lncRNA prognostic signature.