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QRNAstruct: a method for extracting secondary structural features of RNA via regression with biological activity

Recent technological advances have enabled the generation of large amounts of data consisting of RNA sequences and their functional activity. Here, we propose a method for extracting secondary structure features that affect the functional activity of RNA from sequence–activity data. Given pairs of R...

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Detalles Bibliográficos
Autores principales: Terai, Goro, Asai, Kiyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303433/
https://www.ncbi.nlm.nih.gov/pubmed/35390152
http://dx.doi.org/10.1093/nar/gkac220