Cross-modal predictive modeling of multi-omic data in 3D airway organ tissue equivalents during viral infection

IntroductionDeveloping robust predictive models from multi-omics data is challenging because sample sizes are typically small (often fewer than 100) while the feature space is vast (over 20,000 molecular features such as genes, transcripts, and proteins), which increases the risk of overfitting and...

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Bibliographic Details

Published in:	Frontiers in Genetics
Main Authors:	Mostafa Rezapour, Patrick M. McNutt, David A. Ornelles, Stephen J. Walker, Sean V. Murphy, Anthony Atala, Metin Nafi Gurcan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	predictive modeling 3D airway organ tissue equivalent (OTEs) viral infection RNA-Seq data NanoString technologies differential expression analysis
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1658577/full