Article
Seq-SymRF: a random forest model predicts potential miRNA-disease associations based on information of sequences and clinical symptoms.
Scientific reports - 21 Oct 2020
Li Jinlong, Chen Xingyu, Huang Qixing, Wang Yang, Xie Yun, Dai Zong, Zou Xiaoyong, Li Zhanchao
Abstract excerpt
Increasing evidence indicates that miRNAs play a vital role in biological processes and are closely related to various human diseases. Research on miRNA-disease associations is helpful not only for disease prevention, diagnosis and treatment, but also for new drug identification and lead compound discovery. A novel sequence- and symptom-based random forest algorithm model (Seq-SymRF) was developed to identify...
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