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

by George Crowley, James Kim, Sophia Kwon, Rachel Lam, David J. Prezant, Mengling Liu, Anna Nolan

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 d ata pruning, and validated identified biomarkers. The parent cohort consisted of male, never-smoking firefighters with WTC-LI (FEV1, %Pred

Source: PLoS Computational Biology - July 21, 2021 Category: Biology Authors: George Crowley Source Type: research