Meiyue Wang

This study identifies Nav1 as a gene regulating learning, memory, and responses to addictive drugs through synaptic balance changes in the cortex and hippocampus.

AIMHIGH identifies novel disease-causing genes by analyzing inbred mouse strain data and machine learning-driven literature-based discovery.

This study evaluates the impact of population structure on murine GWAS and finds minimal effects in most datasets, with some cases where PS correction may reject true signals.

CancerMIRNome provides an interactive database for analyzing and visualizing miRNA expression data from cancer studies to identify dysregulated miRNAs and develop biomarkers.

The paper analyzes structural variation in inbred mouse strains to identify genetic factors associated with autism-related traits.

The paper applies genomic selection methods to multi-omics data to develop prognostic signatures for prostate cancer, showing improved predictability and computational efficiency.