Chunling Zhang

The paper introduces an adversarial neural network to identify genetic resilience markers in Alzheimer's disease, finding five SNPs associated with resilience independent of polygenic risk scores.

The paper identifies eQTLs, rQTLs, and pQTLs in the human brain and shows that many eQTL effects are attenuated post-transcriptionally, yet still correlate with schizophrenia GWAS signals.

This study evaluates precision and accuracy in sc/snRNA-seq data, identifies factors affecting reproducibility, and introduces a tool to assess data quality and differential expression reliability.

The paper evaluates deconvolution methods on human brain data, finding dtangle and bMIND perform best, and identifies decon-eQTLs that explain more schizophrenia heritability than bulk or single-cell eQTLs.

The paper identifies correlated DNA methylation and gene expression pairs across tissues and brain development stages, finding most are tissue-specific and revealing novel regulatory mechanisms.

BrainGENIE predicts brain-tissue gene expression from peripheral blood transcriptomes, outperforming existing methods in accuracy and biological relevance.

The paper identifies positional effects in Illumina Methylation Arrays and shows how they impact methylation measurements, recommending ComBat for correction.