•연구자: 의생명시스템학부 이제근
•발표일: 2022.05.21
•DOI: https://doi.org/10.3390/biology11050787
•Dong-Yeon Nam, Je-Keun Rhee, Biology (Q1), Volume 11, Issue 5 , 787 (2022)
•Abstract
Cancer is a disease with high mortality and recurrence rates. To understand cancer biology, it is important to accurately determine the proportion of tumor and non-tumor cells in tumor tissues. In this study, the proportion of tumor cells in tumor tissues was predicted using miRNA expression data that had not been sufficiently studied before. Using a random forest regression model, the tumor purity was predicted accurately, and subsequent investigations into the association between the informative microRNAs and tumor purity could be conducted.