Yuan Hou

The paper develops a neuron-specific interactome map in human excitatory neurons to identify novel risk genes and pathways in Alzheimer's disease.

The paper identifies cell-type-specific metabolic regulators in Alzheimer's disease using scFUMES, revealing key interactions that reduce pathological tau species.

This study identifies GPCR targets of gut microbiota metabolites in Alzheimer's disease using multi-omics and machine learning.

This paper introduces a network-based deep learning framework to translate GWAS findings into biological insights and drug targets for Alzheimer's disease, identifying 156 putative risk genes.

This study links SARS-CoV-2 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment through network-based genomics analysis.

The paper examines sex differences in COVID-19 outcomes and immune responses using single-cell RNA-sequencing and clinical data, finding higher risk for males and potential mechanisms for sex-specific treatments.

This study identifies disease mutations that perturb protein-protein interactions in the human 3D interactome, showing their association with cancer survival and drug response.