Predictive biomarkers for embryotoxicity: a machine learning approach to mitigating multicollinearity in RNA-Seq
Author:
Funder
Korea Institute of Toxicology
Korea Ministry of Environment
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00204-024-03852-w.pdf
Reference46 articles.
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4. Barbagallo C, Mostile G, Baglieri G et al (2020) Specific signatures of serum miRNAs as potential biomarkers to discriminate clinically similar neurodegenerative and vascular-related diseases. Cell Mol Neurobiol 40(4):531–546. https://doi.org/10.1007/s10571-019-00751-y
5. Borgel J, Guibert S, Li Y et al (2010) Targets and dynamics of promoter DNA methylation during early mouse development. Nat Genet 42(12):1093–1100. https://doi.org/10.1038/ng.708
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