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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Autores principales: | , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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Acceso en línea: | https://doaj.org/article/491b3b0778244ef085dbd2d7c26130a7 |
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