Using deep neural networks and LASSO regression to predict miRNA expression changes based on mRNA data

Using deep neural networks and LASSO regression to predict miRNA expression changes based on mRNA data

IntroductionSince the rise of molecular high-throughput technologies, many diseases are now studied on multiple omics layers in parallel. Understanding the interplay between microRNAs (miRNA) and their target mRNAs is important to understand the molecular level of diseases. While much public data fr...

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Bibliographic Details
Main Authors: Franz Leonard Böge, Helena U. Zacharias, Stefanie C. Becker, Klaus Jung
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Bioinformatics
Subjects:
microRNA
artificial neural networks
LASSO regularization
West Nile virus
human immunodeficiency virus
multi-omics
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2025.1566162/full
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