Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses - Manduchi, Elisabetta; Fu, Weixuan; Romano, Joseph D.; Ruberto, Stefano; Moore, Jason H. (BMC bioinformatics, 2020)
Keywords: Algorithms; Automation; AutoML; Big Data; Bioinformatics; Biomedical and Life Sciences; Biomedical data; Cell adhesion & migration; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Covariate adjustment; Creatinine; Data Analysis; Datasets; Drug dosages; Embedding; Feature importance; Gene expression; Genetic algorithms; Genetic programming; Genomics; Humans; Information management; Kidney diseases; Kinases; Learning algorithms; Life Sciences; Machine Learning; Machine Learning and Artificial Intelligence in Bioinformatics; Mental disorders; Methodology; Methodology Article; Microarrays; Optimization; Pathways; Prediction models; Proteins; Regression analysis; Schizophrenia; Technology application; Variables; Pathways; AutoML; Genetic programming; Feature importance; Covariate adjustment