Protein-driven inference of miRNA–disease associations
Motivation: MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA–disease associations remain low in number and of variable reliability. Furthermore, existing databases and...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904518/ |
| Summary: | Motivation: MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA–disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer. |
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