Xiangqi Bai

This study identifies the immunosuppressive cellular and genomic features of colorectal cancer brain metastases and their mechanisms of adaptation.

This study analyzes DNA fragmentation and methylation in CSF-derived cfDNA from NSCLC-BMET patients and finds distinct patterns compared to controls and plasma-derived cfDNA.

This study uses spatial single-cell analysis to identify 10 cell phenotypes in stage III colorectal cancers and links specific spatial features to recurrence risk.

The paper identifies a 26-gene expression signature in high-risk gastric intestinal metaplasia (GIM) that localizes to intestinal stem-like cells and is associated with increased gastric cancer risk.

The paper develops a nanopore sequencing strategy to measure cfDNA methylomes in cancer patients, enabling longitudinal monitoring during treatment.

The paper integrates scDNA-seq and scRNA-seq data to characterize subclonal architecture and pathway activity in gastric and colorectal cancers.

UnionCom integrates single-cell multi-omics datasets without cell or feature correspondence by aligning topological structures through matrix optimization and global scaling.

This study introduces CC-NMF, a framework that jointly infers clonal structure from matched scDNA and scRNA data, showing robustness and accuracy in resolving genomic and transcriptomic clonal architecture.

DensityPath visualizes and reconstructs cell developmental trajectories from large-scale scRNA-seq data using a level-set algorithm, identifying complex branching patterns in human preimplantation embryos.