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| Link zu diesem Datensatz | https://d-nb.info/1372909362 |
| Titel | Bioinformatics Research and Applications : 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part I / edited by Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei |
| Person(en) |
Tang, Jing (Herausgeber) Lai, Xin (Herausgeber) Cai, Zhipeng (Herausgeber) Peng, Wei (Herausgeber) Wei, Yanjie (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XX, 412 p. 124 illus., 120 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9506-97-2 Printed edition:: ISBN: 978-981-9506-99-6 |
| Inhalt | HCSeer: A Classification Tool for Human Genetic Variant Hot and Cold Spots Designed for PM1 and Benign Criteria in the ACMG Guideline -- ViDSG: A Hybrid Algorithm Integrating Statistical and Semantic Features via Dual-Channels for Identifying Prokaryotic and Eukaryotic Viruses -- MoGE: A Benchmark for Comprehensive Evaluation of Molecular Generation Models in De Novo Drug Design -- Dual-Modality Representation Learning for Molecular Property Prediction -- GDMRMD: An Ensemble Model for Predicting RNA Modification-Disease Associations -- SUIFS: A Symmetric Uncertainty based Interactive Feature Selection Method -- TF-GCNNovo: A Peptide Sequence Prediction Model Integrating Transformer and Graph Convolutional Network -- FSPicker: A Dual-Stream Attention Network for Multi-Scale Particle Picking in Cryo-Electron Tomography -- SDMFF: Spatial-temporal Dual-pathway Network with Multi-scale Feature Fusion for Parkinson’s Disease Diagnosis -- RNA-ModCaller: A Multi Feature Fusion and Stacking Ensemble Learning Framework for Prediction of RNA Modifications -- Efficient and Accurate Approximation Algorithms for Protein Structure Alignment -- Multi-Task Learning with Cross-Stitch for Synergistic Effect of Drug Combination Prediction -- A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions -- PDA-GTGCN: identification of piRNA-disease associations based on group feature transformation graph convolutional network -- DDLB: Using the protein language model and hierarchical architecture to improve disordered lipid-binding residues prediction -- EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection -- RGMI: a multimodal graph framework with dynamic weighting for measuring disease similarity -- LDADW: An algorithm for integrating single-cell and spatial transcriptomic data based on the topic model -- Adaptive Fusion of Global and Local Representations for Neoantigen Retention Time Prediction through Hierarchical Sequence-Graph Hybridization -- MambaST: Hexagonal State Space Modeling for Spatial Domain Identification -- On Multiple Protein Scaffold Filling -- RGNCNDDA: Predicting Potential Drug-Disease Associations via Residual Graph Normalized Convolutional Network -- Spindle-UMamba: A Mamba-based Attention-Unet Framework for Effective Sleep Spindle Detection -- CADS: Causal Inference for Dissecting Essential Genes to Predict Drug Synergy -- A Novel Sample Selection for Deep Learning Model in Computational Drug Repositioning -- SGMDTI: A unified framework for drug-target interaction prediction by semantic-guided meta-path method -- TREPP: Tandem Repeat Expansion Pathogenicity Predicting Approach Using Stacked CatBoost Models and Multiple Features -- EMF: Enhancing Mortality Risk Prediction via Evidential Multimodal Fusion -- Contrastive Learning-based Method for Single-cell Multi-omics Data Clustering -- Intelligent algorithms of action recognition for cardiopulmonary resuscitation based on wearable device -- Label-guided graph contrastive learning for single-cell fusion clustering -- A Graph Convolution-Based Method for dental Image Registration -- DepMambaformer: Integrating Bidirectional State Space Duality Model with Multimodal Attention for Depression Detection |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2508010409431.100353990260 DOI: 10.1007/978-981-95-0698-9 |
| URL | https://doi.org/10.1007/978-981-95-0698-9 |
| ISBN/Einband/Preis | 978-981-95-0698-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Bioinformatics ; 15756 |
| Sachgruppe(n) | 570 Biowissenschaften, Biologie |
| Online-Zugriff | Archivobjekt öffnen |
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