专题:Bioinformatics and Genomic Networks

This cluster of papers focuses on the analysis and interpretation of gene interaction networks, including gene set enrichment analysis, protein-protein interaction networks, functional annotation, pathway analysis, biological network integration, co-expression networks, disease pathways, genomic data integration, and the development of Cytoscape plugins. The research aims to understand the functional organization of genes and proteins within cellular systems and their implications for human diseases.
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BulkFormer: A large-scale foundation model for bulk transcriptomes

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Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications

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Advancing AI for multi-omics and clinical data integration in basic and translational cancer research

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AI-Driven Chemometrics for Multi-omics Data Integration: Advances, Challenges, and Future Directions

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DRHIN: An Integrated and Interactive Web Server for Drug Repositioning

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AI-based methods for simulating, sampling, and predicting protein ensembles

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Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling

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Integrative Bioinformatic Identification and Molecular Docking of Quercetin and Sulforaphane‐Associated Prognostic Targets in Pancreatic Adenocarcinoma

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Network pharmacology in the multi-omics era: uncovering novel therapeutic strategies

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Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery

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