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Article
Open AccessA miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanism
MicroRNAs (miRNAs) emerge in various organisms, ranging from viruses to humans, and play crucial regulatory roles within cells, participating in a variety of biological processes. In numerous prediction method...
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Article
Open AccessCluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine
Clusters, a novel hierarchical material structure that emerges from atoms or molecules, possess unique reactivity and catalytic properties, crucial in catalysis, biomedicine, and optoelectronics. Predicting cl...
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Article
Open AccessTime series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction
DNA methylation is a form of epigenetic modification that impacts gene expression without modifying the DNA sequence, thereby exerting control over gene function and cellular development. The prediction of DNA...