Titlebook: Bioinformatics Research and Applications; 20th International S Wei Peng,Zhipeng Cai,Pavel Skums Conference proceedings 2024 The Editor(s) (

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https://doi.org/10.1007/978-3-642-91434-8r better prediction. Experiments on the Cancer Drug Sensitivity Database (GDSC) show that GSDRP can effectively combine multi-omics information such as genome aberration (MUT_CNA) and gene expression (GE) with the 1-D and 2-D features of SMILES to significantly improve the accuracy of drug response

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Influence of Convection on Phase Selectiontabolite interactions. First, we build a heterogeneous network, which consists of microbe-metabolite pairs, microbial internal interaction network, and metabolite internal interaction network. Then, we utilize paired embeddings obtained from an autoencoder to extract fine-grained pairwise informatio

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Theory of Nucleation and Glass Formation diseases, we applied nonnegative matrix decomposition and singular value decomposition to the adjacency matrix of the heterogeneous network. Subsequently, an unsupervised embedding model enhanced local and global information exchange between nodes using a graph convolutional network encoder within

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Flat and Nested Protein Name Recognition Based on BioBERT and Biaffine Decoder, to achieve the representation of nested entities. Moreover, a smoothing strategy is applied to improve the biaffine decoder’s selection of entity boundaries, which can improve the accuracy of entity recognition. Experiments on flat and nested named entity recognition datasets containing a large num

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