Predicting genes associated with RNA methylation pathways using machine learning.
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ABSTRACT:
SUBMITTER: Tsagkogeorga G
PROVIDER: S-EPMC9411552 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature
Publications
Predicting genes associated with RNA methylation pathways using machine learning.
Tsagkogeorga Georgia G Santos-Rosa Helena H Alendar Andrej A Leggate Dan D Rausch Oliver O Kouzarides Tony T Weisser Hendrik H Han Namshik N
Communications biology 20220825 1
RNA methylation plays an important role in functional regulation of RNAs, and has thus attracted an increasing interest in biology and drug discovery. Here, we collected and collated transcriptomic, proteomic, structural and physical interaction data from the Harmonizome database, and applied supervised machine learning to predict novel genes associated with RNA methylation pathways in human. We selected five types of classifiers, which we trained and evaluated using cross-validation on multiple ...[more]
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