Predicting potential miRNA-disease associations based on more reliable negative sample selection
Abstract Background Increasing biomedical studies have shown that the dysfunction of miRNAs is closely related with many human diseases. Identifying disease-associated miRNAs would contribute to the understanding of pathological mechanisms of diseases. Supervised learning-based computational methods...
| Hoofdauteurs: | , , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
BMC
2022-10-01
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| Reeks: | BMC Bioinformatics |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1186/s12859-022-04978-3 |