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Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
mirSVR is a new machine learning method for ranking microRNA target sites by a down-regulation score. The algorithm trains a regression model on sequence and contextual features extracted from miRanda-predicted target sites. In a large-scale evaluation, miRanda-mirSVR is competitive with other targe...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2945792/ https://ncbi.nlm.nih.gov/pubmed/20799968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2010-11-8-r90 |
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