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Article
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration
Cancer is one of the most deadly diseases in the world. Accurate cancer subtype classification is critical for patient diagnosis, treatment, and prognosis. Ever-increasing multi-omics data describes the charac...
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Article
Time-dependent short-term observational scheduling method for Yunnan 40 m Radio Telescope using a genetic algorithm
Modern astrophysics research has heavily relied on data measured from telescopes. Reasonable observational scheduling brings into play action on the output of highly sensitive data and utilization of telescope...
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Article
Open AccessA quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
Clustering, a traditional machine learning method, plays a significant role in data analysis. Most clustering algorithms depend on a predetermined exact number of clusters, whereas, in practice, clusters are u...
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Chapter and Conference Paper
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association
MiRNAs are proved to be implicated in human diseases. The disease-related miRNAs are expected to be novel bio-marks for disease therapy and drug development. This work develops a Heterogeneous Graph Convolutio...
