Machine Learning Based Network Analysis Determined Clinically Relevant miRNAs in Breast Cancer

ConclusionWe predicted 90 breast cancer risk miRNAs based on proposed DMTN by using SVM classifier. Predicted risk miRNAs are biologically and clinically relevant in breast cancer. Risk miRNAs and one-step neighbor genes could serve as biomarkers for immune cell infiltration and anti-cancer drug response, which sheds lights on immunotherapy or targeted therapy for patients with breast cancer.
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research