Amei Amei

This study identifies age-dependent DNA methylation associations with blood pressure using longitudinal data, revealing dynamic epigenetic changes linked to vascular aging.

The paper introduces a splicing graph to compare exon-based and splice junction-based alternative splicing detection methods, revealing discrepancies and integrating results.

This study introduces RVMMAT, a method for detecting time-varying genetic effects on longitudinal binary traits, and applies it to identify hypertension-associated loci.

This paper develops a longitudinal GWAS model with time-varying coefficients to detect genetic effects in Alzheimer's disease, identifying SNPs with age-dependent effects on clinical and biological phenotypes.

SDePER improves cell type deconvolution in spatial transcriptomic data by addressing platform effects, sparsity, and spatial correlation, achieving more accurate results than existing methods.

This study introduces two statistical tests to detect gene-environment interactions in hypertension, identifying two genes interacting with alcohol use.

This study introduces L-BRAT and RGMMAT for analyzing longitudinal binary traits, identifies loci and pathways related to cocaine use, and replicates findings in an independent GWAS.