Titlebook: Intelligent Computing Theories and Application; 18th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2022

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NSAP: A Neighborhood Subgraph Aggregation Method for Drug-Disease Association Prediction final representation of the nodes incorporates different semantic information. For the edge prediction, a correlation score between drug-disease node pairs is calculated by the decoder. The experimental results have confirmed that our model does have certain effect by comparing it with state of the

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萤火虫

Identification and Evaluation of Key Biomarkers of Acute Myocardial Infarction by Machine Learningively. Then the Lasso algorithm was used to identify the AMI-related essential genes in the training set and validate them in the test set. Potential mechanistic analyses of the development of AMI included the following: the expression differences of crucial genes, differences in immune cell infiltr

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GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circuced to construct the new score matrix based on matrix factorization. We adopt fivefold and tenfold cross validation to evaluate our model. GCNMFCDA obtains an average AUC of 0.9330 and 0.9290, respectively, and performs better than the other eleven existing methods. Furthermore, case studies on bre

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Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networksibility of the potential association between miRNA and disease. On HMDD v2.0, the average AUC of our model MIXHOPMDA based on 5-fold cross-validation is 93.37%. We conduct case studies on esophageal neoplasms and finally found that 47 of the top 50 miRNAs are verified by dbDEMC or miR2Disease. In co

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SCDF: A Novel Single-Cell Classification Method Based on Dimension-Reduced Data Fusionrent effects on the results of single-cell classification. But, choosing an appropriate method for gene expression data to perform dimensionality reduction in scRNA-seq classification is an unsolved problem. This paper integrated seven dimensionality reduction methods to process gene expression prof

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Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on al of the key components with the core targets in the network. Results: A total of 75 active components from Rhizoma Drynariae were retrieved, with 304 potential targets, 2252 targets related to periodontitis, and 14 key targets were analyzed. GO enrichment items (P <0.01) were determined, and most