Predicting genes associated with RNA methylation pathways using machine learning

Machine learning of multi-modal data, including transcriptomic, proteomic, structural and physical interaction, predicts genes and molecular pathways involved in RNA methylation in humans.

Bibliographic Details
Main Authors: Georgia Tsagkogeorga, Helena Santos-Rosa, Andrej Alendar, Dan Leggate, Oliver Rausch, Tony Kouzarides, Hendrik Weisser, Namshik Han
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-022-03821-y
Description
Summary:Machine learning of multi-modal data, including transcriptomic, proteomic, structural and physical interaction, predicts genes and molecular pathways involved in RNA methylation in humans.
ISSN:2399-3642