Identification of a Five-miRNA Signature for Diagnosis of Kidney Renal Clear Cell Carcinoma.

ABSTRACT: Motivation: Kidney renal clear cell carcinoma, which is a common type and accounts for 70-80% of renal cell carcinoma, can easily lead to metastasis and even death. A reliable signature for diagnosis of this cancer is in need. Hence, we seek to select miRNAs for identifying kidney renal clear cell carcinoma. Method: A feature selection strategy is used and improved to identify microRNAs for diagnosis of kidney renal clear cell carcinoma. Samples representing kidney renal clear cell carcinoma and normal tissues are split into training and testing groups. Accumulated scores representing the variable importance of each miRNA are derived from an iteration of resampling, training, and scoring. Those miRNAs with higher scores are selected based on the Gaussian mixture model. The sa

SUBMITTER: Zhao E 

PROVIDER: S-EPMC9068871 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature