mirMark: a site-level and UTR-level classifier for miRNA target prediction

MiRNAs play important roles in many diseases including cancers. However computational prediction of miRNA target genes is challenging and the accuracies of existing methods remain poor. We report mirMark, a new machine learning-based method of miRNA target prediction at the site and UTR levels. This...

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Detalles Bibliográficos
Autores principales: Menor, Mark, Ching, Travers, Zhu, Xun, Garmire, David, Garmire, Lana X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243195/
https://www.ncbi.nlm.nih.gov/pubmed/25344330
http://dx.doi.org/10.1186/s13059-014-0500-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243195/
https://www.ncbi.nlm.nih.gov/pubmed/25344330
http://dx.doi.org/10.1186/s13059-014-0500-5

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