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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation

Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used automated, machine-learning, high-dimensional dat...

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Bibliografski detalji
Izdano u:PLoS Comput Biol
Glavni autori: Crowley, George, Kim, James, Kwon, Sophia, Lam, Rachel, Prezant, David J., Liu, Mengling, Nolan, Anna
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8328304/
https://ncbi.nlm.nih.gov/pubmed/34288906
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1009144
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