A supervised machine learning approach identifies gene‐regulating factor‐mediated competing endogenous RNA networks in hormone‐dependent cancers

Competing endogenous RNAs (ceRNAs) have become an emerging topic in cancer research due to their role in gene regulatory networks. To date, traditional ceRNA bioinformatic studies have investigated microRNAs as the only factor regulating gene expression. Growing evidence suggests that genomic (e.g.,...

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Detalles Bibliográficos
Autores principales: Jayarathna, Dulari K., Rentería, Miguel E., Batra, Jyotsna, Gandhi, Neha S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542250/
https://www.ncbi.nlm.nih.gov/pubmed/35757968
http://dx.doi.org/10.1002/jcb.30300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542250/
https://www.ncbi.nlm.nih.gov/pubmed/35757968
http://dx.doi.org/10.1002/jcb.30300

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