Zhaohui Steve Qin

This study identifies dysregulated synaptic microRNAs in 22q11DS neurons that drive aberrant glutamatergic transmission and synaptic plasticity, linking genetic deletion to psychosis risk.

This paper introduces gemGAT, a graph attention network for gene expression imputation across tissues, showing improved performance over regression-based methods on GTEx and ADNI data.

MSMICA improves metabolite identification in untargeted metabolomics by integrating mass spectrometry data, retention time, and biological evidence, achieving high accuracy across mammalian datasets.

The paper introduces MTClass, a machine learning framework for eQTL identification that outperforms traditional methods by detecting more functionally relevant variants in the MHC region.

GENPHIRE uses a large language model to convert genotype profiles into embedded vectors for disease risk prediction, outperforming existing polygenic risk scores in UK Biobank data.

This study examines how early-life nutrition supplementation affects epigenetic age in middle adulthood using data from a randomized trial in Guatemala.

This study uses deep learning to identify genetic variants associated with brain MRI images by classifying MRI data based on SNP genotypes.

This study uses longitudinal multi-omics analysis of cortical organoids to show that TSC2 pathogenic variants disrupt neurodevelopmental trajectories, leading to synaptic and mitochondrial dysfunction.

This study introduces a method to identify causal genes and regulatory mechanisms in hyperuricemia by integrating single-cell data with genetic findings.

The paper identifies conserved oligodendrocyte dysregulation in mouse adversity models and human MDD, linking it to behavioral deficits and frontal cortex dysfunction.

NetAct constructs core transcription factor regulatory networks using transcriptomics data and literature databases, outperforming existing methods in network inference.

LRcell identifies sub-cell types responsible for differential expression in bulk RNA-seq by using precomputed marker genes from scRNA-seq data, outperforming existing deconvolution methods.

The paper introduces MOSAIC, a method to detect chromatin compartments, revealing micro-compartments that improve understanding of chromatin structure-function relationships.

The paper defines RT states as cell type-specific replication timing profiles using a Hidden Markov Model and finds they provide new functional insights into the human genome.

The paper designs a genotyping array (ADPC) for African-specific genetic variation using whole genome sequences from the CAAPA consortium, improving GWAS for African ancestry populations.

This study identifies novel asthma susceptibility loci in individuals of African ancestry through genome-wide association analysis and admixture mapping.