Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study - Jahangiri, Mina; Kazemnejad, Anoshirvan; Goldfeld, Keith S.; Daneshpour, Maryam S.; Momen, Mehdi; Mostafaei, Shayan; Khalili, Davood; Akbarzadeh, Mahdi (BioData mining, 2025)
Keywords: Algorithms; Autocorrelation; Autoregressive processes; Bioinformatics; Biomedical and Life Sciences; Body mass index; Body size; Chromosomes; Clinical trials; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Correlation analysis; Data Mining and Knowledge Discovery; Datasets; Dimensional analysis; Genetic study; Genetics; Genomes; Genomics; High-dimensional data; Life Sciences; Longitudinal data; Medical research; Medicine, Experimental; Methodology; Mixed-effects model; Modelling; Normal distribution; Nucleotides; Phenotypes; Regression analysis; Regression tree; Risk groups; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Software; Subgroups; Variables; High-dimensional data; Mixed-effects model; Regression tree; Genetic study; Longitudinal data