Chen Cao

The paper introduces cLD, a statistic for measuring rare-variant linkage disequilibrium between genomic regions, and shows it identifies novel genomic interactions and associations.

This paper shows that combining feature selection and aggregation in GReX limits TWAS power and adaptability, especially with low expression heritability.

WgLink improves whole-genome viral haplotype reconstruction accuracy and reduces memory usage by integrating local reconstructions with L0+L1 regularization.

kTWAS combines TWAS feature selection with SKAT kernel methods to improve statistical power and identify novel disease-associated genes.

The paper introduces ILMM, a statistical model that integrates genetic interactions into genotype-phenotype association mapping, revealing 3D-genetic basis of ASD and 3D-eQTLs using whole genome and transcriptome sequencing data.

This paper compares the power of GWAS, TWAS, and a hypothetical real expression protocol to determine when TWAS is effective and when GWAS is better.

PoolHapX reconstructs microbial haplotypes by integrating genetic sharing and genomic sequencing, outperforming existing tools and revealing new insights into HIV evolution.