Bingshan Li

scCotag improves single-cell multi-omics integration by using co-optimal transport and regularized barycentric mapping, outperforming existing methods in alignment and embedding accuracy.

FEAST generates synthetic spatial transcriptomics data with tunable spatial and transcriptional variation for benchmarking and 3D reconstruction.

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 develops a genetics-informed framework to repurpose drugs for type 2 diabetes, identifying telmisartan as a potential treatment based on GWAS data and EHR validation.

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.

FAVOR provides an online resource and tool for functional annotation of variants from whole genome sequencing studies to aid in disease gene prioritization.

This paper introduces MSG, a method that integrates splicing data and GWAS summary statistics to identify trait-associated genes, showing improved power over existing methods.

This study identifies 5,552 blood-cell trait-variant associations across 746,667 individuals from 5 global populations, including 71 novel loci and ancestry-specific variants not found in European ancestry populations.

DRAMS detects and corrects sample mix-ups in multi-omics data by aligning genetic and omics data, improving statistical power and result quality.