Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer

AIM: To identify and predict the competing endogenous RNA (ceRNA) networks in colorectal cancer (CRC) by bioinformatics analysis. METHODS: In the present study, we obtained CRC tissue and normal tissue gene expression profiles from The Cancer Genome Atlas project. Differentially expressed (DE) genes...

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Detalles Bibliográficos
Autores principales: Liang, Yu, Zhang, Cheng, Ma, Ming-Hui, Dai, Dong-Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Basic Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295837/
https://www.ncbi.nlm.nih.gov/pubmed/30581274
http://dx.doi.org/10.3748/wjg.v24.i46.5259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295837/
https://www.ncbi.nlm.nih.gov/pubmed/30581274
http://dx.doi.org/10.3748/wjg.v24.i46.5259

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