Rui Chen

scCotag: Diagonal integration of single-cell multi-omics data via prior-informed co-optimal transport and regularized barycentric mapping

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

The impact of common variants on gene expression in the human brain: from RNA to protein to schizophrenia risk

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.

A genetics-guided integrative framework for drug repurposing: identifying antihypertensive drug telmisartan for type 2 diabetes

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.

Longitudinal multi-omics reveals pathogenic TSC2 variants disrupt developmental trajectories of human cortical organoids derived from Tuberous Sclerosis Complex

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.

From multi-omics data to the cancer druggable genediscovery: a novel machine learning-based approach

This paper introduces DF-CAGE, a machine learning method that identifies cancer-druggable genes using multi-omics data from TCGA, finding 465 potential targets and highlighting the importance of CNAs and mutations.

Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery

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.

DRAMS: A Tool to Detect and Re-Align Mixed-up Samples for Integrative Studies of Multi-omics Data

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