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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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| Publicado en: | PLoS Comput Biol |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | 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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