In our study, miRNAs-disease associations are predicted by a hypergraph regularized bipartite local model (HGBLM), which is based on hypergraph embedded ...
Identification of human microRNA-disease association via hypergraph embedded bipartite local model ... hypergraph regularized bipartite local model (HGBLM) ...
In our study, miRNAs-disease associations are predicted by a Hypergraph regularized Bipartite Local Model (HGBLM), which is based on hypergraph embedded ...
Jan 22, 2024 · We developed a model using a low-rank approximation-based link propagation algorithm with Hilbert–Schmidt independence criterion-based multiple ...
Jan 22, 2024 · AbstractNumerous studies have demonstrated that human microRNAs (miRNAs) and diseases are associated and studies on the microRNA-disease ...
To identify MDA, Ding et al. [28] utilized a hypergraph regularized bipartite local model in combination with Laplace SVM. Chen et al. [29] developed a model ...
In this paper, first, we construct a miRNA functional network and a disease similarity network by integrating different information sources. Then, we further ...
A new diffusion-based method (NDBM) to explore global network similarity for miRNA-disease association inference and some associations who strongly ...
Identification of human microRNA-disease association via hypergraph embedded bipartite local model ... miRNA target genes using canonical correlation analysis.
Apr 20, 2021 · MiRNAs have complex connections with many human diseases. In this study, we proposed a novel computational model to predict the underlying miRNA ...
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