An improved random forest-based computational model for predicting novel miRNA-disease associations
Background: A large body of evidence shows that miRNA regulates the expression of its target genes at post-transcriptional level and the dysregulation of miRNA is related to many complex human diseases. Accurately discovering disease-related miRNAs is conductive to the exploring of the pathogenesis...
| Автори: | , , |
|---|---|
| Інші автори: | |
| Формат: | Journal Article |
| Мова: | English |
| Опубліковано: |
2020
|
| Предмети: | |
| Онлайн доступ: | https://hdl.handle.net/10356/142190 |