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...
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| Format: | Journal Article |
| Sprache: | English |
| Veröffentlicht: |
2020
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| Online Zugang: | https://hdl.handle.net/10356/142190 |