Qile Dai

STACCato: Identifying condition-related cell-cell communication events using supervised tensor analysis

STACCato identifies condition-related cell-cell communication events using supervised tensor analysis, improving inference over existing methods in scRNA-seq datasets.

Multi-tissue transcriptome-wide association study identifies 29 risk genes associated with attention-deficit/hyperactivity disorder

This study uses a multi-tissue transcriptome-wide association study to identify 29 risk genes for ADHD, including six previously unlinked genes.

Proteome-wide association studies using summary pQTL data of three tissues identified 30 risk genes of Alzheimer's disease dementia

CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data

CADET improves transcriptome-wide association studies in admixed populations by integrating local ancestry and eQTL data to enhance gene expression prediction and association testing.

OTTERS: A powerful TWAS framework leveraging summary-level reference data

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

Omnibus proteome-wide association study (PWAS-O) identified 43 risk genes for Alzheimer's disease dementia

The paper introduces PWAS-O, an omnibus proteome-wide association study method that identifies 43 risk genes for Alzheimer's disease dementia, including 5 novel ones.

G2S3: a gene graph-based imputation method for single-cell RNA sequencing data

G2S3 improves single-cell RNA sequencing data by imputing dropouts using a gene graph, enhancing expression recovery and analysis.