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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Detalles Bibliográficos
Autores principales: Crowley, George, Kim, James, Kwon, Sophia, Lam, Rachel, Prezant, David J., Liu, Mengling, Nolan, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328304/
https://www.ncbi.nlm.nih.gov/pubmed/34288906
http://dx.doi.org/10.1371/journal.pcbi.1009144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328304/
https://www.ncbi.nlm.nih.gov/pubmed/34288906
http://dx.doi.org/10.1371/journal.pcbi.1009144

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