Author

Shi-Biao Wan

3 papers indexed here

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Sep 2026

WIMOAD: Weighted Integration of Multi-Omics data with meta learning for Alzheimer's Disease diagnosis.

BackgroundAlzheimer's disease (AD), the most prevalent subtype of dementia, is characterized by a gradual decline in brain cognitive function. Early detection is critical for initiating timely interventions that may delay the severe progression of the disease. Recent advances in next-generation sequencing (NGS) offer p...

Han-Yu Xiao, Jie-Qiong Wang, Shi-Biao Wan · Journal of Alzheimer's Disea... · 0 citations

Open access Sep 2026

DAG-HEART: Directed Acyclic Graph-Guided Health Equity-Aware Representation Transfer Learning Framework for Breast Cancer

Breast cancer outcome prediction remains challenging for underrepresented populations because genomic datasets are demographically imbalanced and conventional multi-omics integration largely relies on undirected molecular similarity. We developed DAG-HEART, a directed acyclic graph-guided multi-omics transfer-learning...

Min-Jeong Baek, Jie-Qiong Wang, Shi-Biao Wan · bioRxiv · 0 citations

Open access Sep 2026

High-Resolution Subtyping of Pediatric Low-Grade Glioma Using an Integrated Meta-Clustering Framework

Pediatric low-grade glioma (pLGG) is the most common type of brain tumor in children, accounting for approximately 30% of all central nervous system tumors in children. pLGG has multiple molecular subtypes that differ in disease progression, recurrence patterns, and treatment responses. Conventional wet lab approaches...

Bulidierxin Tuerhanbayi, Jie-Qiong Wang, Shi-Biao Wan · bioRxiv · 0 citations