ArticleExperimental and therapeutic medicine2018
Identification of dysregulated modules based on network entropy in type 1 diabetes.
Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- EIF1 coordinates transcriptomic and splicing networks associated with cell cycle dysregulation in diabetic retinopathy.PloS one · 2026Article
- Identification of Proteomic Biomarkers and Therapeutic Targets for Vitiligo Using a Two-Sample Proteome-Wide Mendelian Randomization Approach.Journal of cosmetic dermatology · 2025Article
- Development and verification of a combined diagnostic model for primary Sjögren's syndrome by integrated bioinformatics analysis and machine learning.Scientific reports · 2023Article
- Nuclear division cycle 80 complex is associated with malignancy and predicts poor survival of hepatocellular carcinoma.International journal of clinical and experimental pathology · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 1 diabetes is a prevalent autoimmune disease of which the underlying mechanisms remain to be elucidated. The aim of the study was to identify dysregulated modules of type 1 diabetes. After microarray data were preprocessed, 20,545 genes were obtained. By integrating gene expression data and protein-protein interactions (PPI) data, 48,778 new networks were obtained, including 7,953 genes. After simplifying networks, we obtained 24 target networks. By ranking networks with P-values, two modules with P<0.05 were identified, including the genes,
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