Assessment of MicroRNAs Associated with Tumor Purity by Random Forest Regression.

ABSTRACT: Tumor purity refers to the proportion of tumor cells in tumor tissue samples. This value plays an important role in understanding the mechanisms of the tumor microenvironment. Although various attempts have been made to predict tumor purity, attempts to predict tumor purity using miRNAs are still lacking. We predicted tumor purity using miRNA expression data for 16 TCGA tumor types using random forest regression. In addition, we identified miRNAs with high feature-importance scores and examined the extent of the change in predictive performance using informative miRNAs. The predictive performance obtained using only 10 miRNAs with high feature importance was close to the result obtained using all miRNAs. Furthermore, we also found genes targeted by miRNAs and confirmed that these genes wer

SUBMITTER: Nam DY 

PROVIDER: S-EPMC9138977 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature