Beilei Bian

TRACE provides a framework for creating traceable biomedical resources, demonstrated with a single-cell glaucoma dataset, enabling reproducible analyses and resource reuse.

GHIST+ reconstructs tissue-wide molecular maps from H&E histology, enabling cohort-scale molecular reconstruction from sparse spatial transcriptomic data.

The paper identifies 219 pleiotropic conflict regions in the human genome using GWAS data, showing antagonistic variants are enriched for intermediate allele frequency SNPs and under positive/balancing selection.

The paper tests associations between maternal KIR haplotypes and fetal HLA-C alleles with birth weight in a large sample, finding no significant interactions or replication of previous findings.

GHIST predicts spatial gene expression at single-cell resolution from histology images, showing superior performance across different resolutions and datasets.

This study examines the genetic and phenotypic links between neonatal C3 and C4 protein concentrations and psychiatric and autoimmune disorders, finding no strong causal associations with mental disorders but evidence of lower autoimmune risk with higher C4 levels.

This study uses a graph embedding method to reconstruct the migration history of East Asian populations using SNP data from the 1000 Genomes Project and identifies SNPs associated with neurological diseases.