MncR: Late Integration Machine Learning Model for Classification of ncRNA Classes Using Sequence and Structural Encoding

Non-coding RNA (ncRNA) classes take over important housekeeping and regulatory functions and are quite heterogeneous in terms of length, sequence conservation and secondary structure. High-throughput sequencing reveals that the expressed novel ncRNAs and their classification are important to underst...

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Detalles Bibliográficos
Autores principales: Dunkel, Heiko, Wehrmann, Henning, Jensen, Lars R., Kuss, Andreas W., Simm, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218863/
https://www.ncbi.nlm.nih.gov/pubmed/37240230
http://dx.doi.org/10.3390/ijms24108884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218863/
https://www.ncbi.nlm.nih.gov/pubmed/37240230
http://dx.doi.org/10.3390/ijms24108884

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