The proposed engGNN is highlighted as a robust, flexible, and interpretable framework for disease classification and biomarker discovery in high-dimensional omics contexts and provides interpretable feature importance scores that facilitate biologically meaningful discoveries, such as pathway enrichment analysis.
Tian-Tian Yang, Yuxuan Wang, Zhen-Wei Zhou et al.· Briefings in Bioinformatics· 0 citations
The magnitude of peripheral bone loss over 8 years did not differ between individuals with type 2 diabetes and those with normoglycemia, suggesting that bone deterioration alone does not explain the higher fracture risk in older adults with type 2 diabetes.
A. Dufour, M. Bouxsein, Mu-Song Gao et al.· Diabetes Care· 0 citations
This work fine-mapped UK Biobank-derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs.
Peter Orchard, T. Blackwell, L. Kachuri et al.· Science· 0 citations
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