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Journal: Biology
Article Title: Integrative Multi-Omics Analysis for Etiology Classification and Biomarker Discovery in Stroke: Advancing towards Precision Medicine
doi: 10.3390/biology13050338
Figure Lengend Snippet: Gene Expression Omnibus platforms for the array used in this study.
Article Snippet: circRNA , GPL21825 ,
Techniques: Gene Expression, Microarray, Methylation
Journal: Biology
Article Title: Integrative Multi-Omics Analysis for Etiology Classification and Biomarker Discovery in Stroke: Advancing towards Precision Medicine
doi: 10.3390/biology13050338
Figure Lengend Snippet: BioMGNN workflow. The original expressions (circRNA. miRNA, etc.) are projected into a knowledge graph that captures the known biological relationship between the different features together with the patient nodes to create a multipartite network. Random embeddings are generated for each nodes, and the GraphSAGE with the attention algorithm proposed is applied. After convergence, the final patient embeddings are used to predict the stroke etiology.
Article Snippet: circRNA , GPL21825 ,
Techniques: Generated
Journal: Biology
Article Title: Integrative Multi-Omics Analysis for Etiology Classification and Biomarker Discovery in Stroke: Advancing towards Precision Medicine
doi: 10.3390/biology13050338
Figure Lengend Snippet: Evaluation metrics for the patient etiology classification task.
Article Snippet: circRNA , GPL21825 ,
Techniques:
Journal: Biology
Article Title: Integrative Multi-Omics Analysis for Etiology Classification and Biomarker Discovery in Stroke: Advancing towards Precision Medicine
doi: 10.3390/biology13050338
Figure Lengend Snippet: Visual exploration of the expression data using a clustered heatmap: ( a ) Expression levels of the original circRNA data, ( b ) expression levels of the original miRNA data, ( c ) expression levels of the original mRNA data, and ( d ) bioMGNN-calculated patient embeddings. The green (Cardioembolic) and blue (Atherosclerotic) left bar indicates patient etiology. BioMGNN shows better performance in clustering similar patients than the original data sources.
Article Snippet: circRNA , GPL21825 ,
Techniques: Expressing