Identifying Tumor-Associated Genes from Bilayer Networks of DNA Methylation Sites and RNAs.
Life (Basel)
; 13(1)2022 Dec 27.
Article
em En
| MEDLINE
| ID: mdl-36676027
ABSTRACT
Network theory has attracted much attention from the biological community because of its high efficacy in identifying tumor-associated genes. However, most researchers have focused on single networks of single omics, which have less predictive power. With the available multiomics data, multilayer networks can now be used in molecular research. In this study, we achieved this with the construction of a bilayer network of DNA methylation sites and RNAs. We applied the network model to five types of tumor data to identify key genes associated with tumors. Compared with the single network, the proposed bilayer network resulted in more tumor-associated DNA methylation sites and genes, which we verified with prognostic and KEGG enrichment analyses.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Life (Basel)
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China