Xiaojia Tang

The paper constructs a comprehensive single-nucleus RNA-seq atlas of the human neurovascular unit in Alzheimer's disease, revealing sex-specific vascular dysfunctions and disrupted intercellular communication.

The paper uses digital spatial profiling to analyze transcriptomic changes in the neurovascular unit of Alzheimer's transgenic mice, identifying dysregulated signaling and potential therapeutic targets.

This study shows gut microbiota affects drug absorption and metabolism by altering gene expression and intestinal permeability in mice.

OmicsFootPrint integrates and interprets multi-omics data using circular images and deep neural networks, achieving high AUC scores in cancer subtype classification and drug response prediction.

The paper identifies SERPINA5 as a novel tau binding partner in Alzheimer's disease by analyzing hippocampal gene expression and neurofibrillary tangles.

The paper identifies pathologically relevant signaling pathways in cancers by analyzing microRNA response element frequencies using a novel bioinformatics method.

PANOPLY prioritizes cancer drugs for individual patients using multi-omics data and machine learning, showing effectiveness in a chemotherapy-resistant tumor model.