Cargando…
Crinet: A computational tool to infer genome-wide competing endogenous RNA (ceRNA) interactions
To understand driving biological factors for complex diseases like cancer, regulatory circuity of genes needs to be discovered. Recently, a new gene regulation mechanism called competing endogenous RNA (ceRNA) interactions has been discovered. Certain genes targeted by common microRNAs (miRNAs) “com...
Autores principales: | Kesimoglu, Ziynet Nesibe, Bozdag, Serdar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118266/ https://www.ncbi.nlm.nih.gov/pubmed/33983999 http://dx.doi.org/10.1371/journal.pone.0251399 |
Ejemplares similares
-
SUPREME: multiomics data integration using graph convolutional networks
por: Kesimoglu, Ziynet Nesibe, et al.
Publicado: (2023) -
Cancerin: A computational pipeline to infer cancer-associated ceRNA interaction networks
por: Do, Duc, et al.
Publicado: (2018) -
Analysis of the lncRNA-Associated Competing Endogenous RNA (ceRNA) Network for Tendinopathy
por: Huang, Bing-Zhe, et al.
Publicado: (2022) -
Competing endogenous RNA (ceRNA) networks in Parkinson's disease: A systematic review
por: Asadi, Mohammad Reza, et al.
Publicado: (2023) -
Identification of a potential competing endogenous RNA (ceRNA) network in gastric adenocarcinoma
por: Wu, Chen, et al.
Publicado: (2023)