Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods.

ABSTRACT: RNA N ⁶-methyladenosine (m⁶A) has emerged as an important epigenetic modification for its role in regulating the stability, structure, processing, and translation of RNA. Instability of m⁶A homeostasis may result in flaws in stem cell regulation, decrease in fertility, and risk of cancer. To this day, experimental detection and quantification of RNA m⁶A modification are still time-consuming and labor-intensive. There is only a limited number of epitranscriptome samples in existing databases, and a matched RNA methylation profile is not often available for a biological problem of interests. As gene expression data are usually readily available for most biological problems, it could be appealing if we can estimate the RNA methylation status

SUBMITTER: Xue H 

PROVIDER: S-EPMC7372605 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature