Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data

Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. Although there are over 100,000 samples with available RNA sequencing (RNA-seq) data, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA-seq data is to f...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zixiu, Zhou, Peng, Kwon, Euijin, Fitzgerald, Katherine A., Weng, Zhiping, Zhou, Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607125/
https://www.ncbi.nlm.nih.gov/pubmed/36287122
http://dx.doi.org/10.3390/ncrna8050070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607125/
https://www.ncbi.nlm.nih.gov/pubmed/36287122
http://dx.doi.org/10.3390/ncrna8050070

Ejemplares similares