Machine learning for catalysing the integration of noncoding RNA in research and clinical practice

Summary: The human transcriptome predominantly consists of noncoding RNAs (ncRNAs), transcripts that do not encode proteins. The noncoding transcriptome governs a multitude of pathophysiological processes, offering a rich source of next-generation biomarkers. Toward achieving a holistic view of dise...

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Bibliographic Details

Published in:	EBioMedicine
Main Authors:	David de Gonzalo-Calvo, Kanita Karaduzovic-Hadziabdic, Louise Torp Dalgaard, Christoph Dieterich, Manel Perez-Pons, Artemis Hatzigeorgiou, Yvan Devaux, Georgios Kararigas
Format:	Article
Language:	English
Published:	Elsevier 2024-08-01
Subjects:	Artificial intelligence Biomarker Machine learning Molecular pathways Noncoding RNA Personalised medicine
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352396424002834