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

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,Exploration and Visualization Methods for Chromatin Interaction Data,nterpret a biological dataset, particularly when the data in question is not well-standardized or fully understood, such as in the case of high-throughput chromatin conformation capture or Hi-C. Using Hi-C contact lists from publicly available databases as well as supplemental data, we demonstrate t

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GSDRP: Fusing Drug Sequence Features with Graph Features to Predict Drug Response,ver, they failed to make full use of the drug complementary information of sequence features and graphical features when considering the SMILES(Simplified molecular input line entry system) features. In view of this, we propose a deep learning model GSDRP that effectively integrates omics data and d

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,CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site pathogenesis of various diseases, especially neurodegenerative diseases and cancers. Given that traditional biological experiments are often time-consuming and costly, developing computational methods for predicting circRNA-binding protein sites is crucial. Current computational methods for extract

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,A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Inous research has established connections between various microbiomes and metabolomes through correlation and association analyses. Although traditional statistical analysis methods have been used to quantify microbe-metabolite correlations, they do not fully elucidate the biological connections betw

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