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Chapter and Conference Paper
Achieving a Balance Between Work and Rest Through Interaction Design
With the advancement of technology, we have entered the Information Age. The arrival of the Information Revolution has liberated human productivity, but it has not led to a reduction in working hours. A signif...
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Article
DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples
Emerging evidence indicates that miRNAs have strong relationships with many human diseases. Investigating the associations will contribute to elucidating the activities of miRNAs and pathogenesis mechanisms, a...
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Chapter and Conference Paper
Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution
Drug-disease association prediction is essential in drug development and repositioning. At present, the proposed drug-disease association prediction models based on graph convolution usually learn the characte...
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Article
Open AccessA novel essential protein identification method based on PPI networks and gene expression data
Some proposed methods for identifying essential proteins have better results by using biological information. Gene expression data is generally used to identify essential proteins. However, gene expression dat...
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Article
iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion
Circular RNAs (circRNAs) are a special class of non-coding RNAs with covalently closed-loop structures. Studies prove that circRNAs perform critical roles in various biological processes, and the aberrant expr...
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Chapter and Conference Paper
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network
Essential genes play an indispensable role in cell viability and fertility. Identifying human essential genes helps us to study the functions of human genes, but also provides a way for finding potential targe...
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Chapter and Conference Paper
Improving Identification of Essential Proteins by a Novel Ensemble Method
Essential proteins are indispensable for cell survival, and the identification of essential proteins plays a critical role in biological and pharmaceutical design research. Recently, some machine learning meth...
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Article
Open AccessPrediction of essential proteins based on gene expression programming
Essential proteins are indispensable for cell survive. Identifying essential proteins is very important for improving our understanding the way of a cell working. There are various types of features related to...
