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.
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-08-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-022-03821-y |
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. |
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ISSN: | 2399-3642 |