AIMC Topic: Genetic Predisposition to Disease
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Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning.
Autoimmunity
Dec 19, 2024
BACKGROUND: Juvenile idiopathic arthritis (JIA), superseding juvenile rheumatoid arthritis (JRA), is a chronic autoimmune disease affecting children and characterized by various types of childhood arthritis. JIA manifests clinically with joint inflam...
Integration of biological data via NMF for identification of human disease-associated gene modules through multi-label classification.
PloS one
Dec 12, 2024
Proteins associated with multiple diseases often interact, forming disease modules that are critical for understanding disease mechanisms. This study integrates protein-protein interactions (PPIs) and Gene Ontology data using non-negative matrix fact...
Hierarchical Hypergraph Learning in Association- Weighted Heterogeneous Network for miRNA- Disease Association Identification.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
MicroRNAs (miRNAs) play a significant role in cell differentiation, biological development as well as the occurrence and growth of diseases. Although many computational methods contribute to predicting the association between miRNAs and diseases, the...
LKLPDA: A Low-Rank Fast Kernel Learning Approach for Predicting piRNA-Disease Associations.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
Piwi-interacting RNAs (piRNAs) are increasingly recognized as potential biomarkers for various diseases. Investig-ating the complex relationship between piRNAs and diseases through computational methods can reduce the costs and risks associated with ...
KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
CircRNA is closely related to human disease, so it is important to predict circRNA-disease association (CDA). However, the traditional biological detection methods have high difficulty and low accuracy, and computational methods represented by deep l...
Predicting miRNA-Disease Associations Based on Spectral Graph Transformer With Dynamic Attention and Regularization.
IEEE journal of biomedical and health informatics
Dec 5, 2024
Extensive research indicates that microRNAs (miRNAs) play a crucial role in the analysis of complex human diseases. Recently, numerous methods utilizing graph neural networks have been developed to investigate the complex relationships between miRNAs...
Machine learning approaches and genetic determinants that influence the development of type 2 diabetes mellitus: a genetic association study in Brazilian patients.
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Dec 2, 2024
This genetic association study including 120 patients with type 2 diabetes mellitus (T2DM) and 166 non-diabetic individuals aimed to investigate the association of polymorphisms in the genes GSTM1 and GSTT1 (gene deletion), GSTP1 (rs1695), ACE (rs464...
Glutathione S-Transferase pi
Vascular Endothelial Growth Factor A
Glutathione Transferase
Polymorphism, Genetic
Male
Middle Aged
Brazil
Risk Factors
Aged
Adult
Polymorphism, Single Nucleotide
Genotype
Genetic Association Studies
Humans
Case-Control Studies
Machine Learning
Diabetes Mellitus, Type 2
Female
Genetic Predisposition to Disease
Integrative analysis and knowledgebase construction of key candidate genes and pathways in age-related macular degeneration.
Experimental eye research
Nov 28, 2024
Age-related macular degeneration is a retinal disease that severely impacts vision in the older population. Its gene-related heterogeneity has not been fully studied, increasing the burden of precise treatment, prevention and prognosis. Genetic varia...
CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association Prediction.
Journal of computational biology : a journal of computational molecular cell biology
Nov 27, 2024
Numerous biological experiments have demonstrated that microRNA (miRNA) is involved in gene regulation within cells, and mutations and abnormal expression of miRNA can cause a myriad of intricate diseases. Forecasting the association between miRNA an...
Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample.
Genes
Nov 26, 2024
BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using a multi-polygenic score approach, we characterized the relationship between genome-wide information and the history of PPD in patients with mood disor...
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