Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
13 Pages1 Vol.:(0123456789) Scientific Reports | (2021) 11:15107 | https://doi.org/10.1038/s41598-021-94501-0 www.nature.com/scientificreports Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets Georgios Papoutsoglou 1,2,8 , Makrina Karaglani 1,3,8 , Vincenzo Lagani 1,4 , Naomi Thomson 1 , Oluf Dimitri Røe 5,6 , Ioannis Tsamardinos 1,2,8 & Ekaterini Chatzaki 3,7,8* COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high throughput COVID-19 datasets, including proteomic, metabolomic and transcriptomic measurements. Pathway analysis of t
