Xue Jiang

This study uses single-cell RNA-seq data to identify disease-related gene programs and pathways in Alzheimer's disease, offering potential targets for personalized therapies.

This study observes synchronized growth oscillations in Serendipita indica fungi during sporulation using a microfluidic setup and links it to cell-cell communication.

The paper introduces a self-attention graph convolutional network to identify key DNA methylation sites for multi-tumor early diagnostics, achieving improved sensitivity in blood-based detection.

This study uses a k-means based unsupervised feature selection method to identify biomarkers associated with different clinical phases of Huntington's disease.

The paper identifies a thiamine auxotrophy in Serendipita indica and shows that co-culturing with Bacillus subtilis restores growth, but only under specific spatial and temporal conditions.