This two-set volume LNCS 15756 and 15767 constitutes the refereed proceedings of the 21st International Symposium on Bioinformatics Research and Applications, ISBRA 2025, held in Helsinki, Finland, during August 3 5, 2025. The 66 full papers were carefully reviewed and seleted from 167 submissions. This year s symposium brought together leading researchers, scientists, and industry professionals from around the world to share cutting-edge advancements, foster collaboration, and explore the future of bioinformatics and computational biology.
This two-set volume LNCS 15756 and 15767 constitutes the refereed proceedings of the 21st International Symposium on Bioinformatics Research and Applications, ISBRA 2025, held in Helsinki, Finland, during August 3 5, 2025.
The 66 full papers were carefully reviewed and seleted from 167 submissions. This year s symposium brought together leading researchers, scientists, and industry professionals from around the world to share cutting-edge advancements, foster collaboration, and explore the future of bioinformatics and computational biology.
Artikelnr. des Verlages: 89549584, 978-981-95-0694-1
Seitenzahl: 400
Erscheinungstermin: 13. September 2025
Englisch
Abmessung: 235mm x 155mm
ISBN-13: 9789819506941
ISBN-10: 9819506948
Artikelnr.: 74741349
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Inhaltsangabe
Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning.- LGFMDA: miRNA-disease association prediction with local and global feature representation learning.- TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-channel EEG Motor Imagery Classification.- HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction.- PrePSL: A Pre-training Method for Protein Subcellular Localization Using Graph Auto-Encoder and Protein Language Model.- MOGATFF: An Explainable Multi-Omics Prediction Model with Feature Enhancement for Genotype-Phenotype Association Analysis.- Accurate and Interpretable Wound Healing Progress Detection Based on a Task-related Knowledge Refinement Learning Method.- A novel weighted network control model for identifying coding and non-coding drivers in cancer.- A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features.- Identification of piRNA-disease association based on contrastive learning.- Autonomous Generation of an Autism Knowledge Question-and-Answer Dataset Using Large Language Models.- Double Metaphone Blocking: An Innovative Blocking Approach to Record Linkage.- Integrating High-Throughput RNA-RNA Interaction Data into RNA Secondary Structure Prediction.- GDCA-TransUNet for Dual-Stage Attention Enhanced Multi-Organ Segmentation in Abdominal CT Images.- E(3)-invariant diffusion model for pocket-aware peptide generation.- Simulating viral evolution and immune escape reinfection dynamics using agent-based modelling.- Practical colinear chaining on sequences revisited.- EnzHier: High-Precision Enzyme Function Prediction through Multi-Scale Feature Integration and Hierarchical Contrastive Learning.- Bidirectional Position-Context Feature Representation for Predicting DNA/RNA Modification Sites.- Optical Flow-Augmented Dual-Stream Network for Left Ventricular Ejection Fraction Prediction.- Joint Sparse Precision Matrix Estimation for Cancer Diagnosis.- An Efficient Parallel List Ranking Algorithm for Graph Concatenation on BSP Graph System.- scCMA:a contrastive masked autoencoder for single-cell RNA-seq embedding.- Drug-Target Interaction Prediction via Substructure Similarity-Guided Denoising and Hierarchical Feature Fusion.- Bioinformatics Course Reform Through Projects integrating History, Theory, and Practice.- BiGDC-BrainAgeNet: Enhancing EEG-Based Brain Age Prediction with Bidirectional Graph Diffusion Convolutions.- CT-Semi-Net: Segmentation of infected areas in lung CT images based on attention mechanism and semi-supervised learning.- Dynamic Knowledge-aware LLM for Adverse Drug Reaction Entity Recognition.- LiteSCTransNet: Lightweight CNN-Transformer for 3D Medical Image Segmentation.- ACMSI: An Innovative Automated Analysis Application Utilizing Computer Vision for Accurate Microsatellite Instability Classification.- AlloPED: Leveraging Protein Language Models and Structure Features for Allosteric Site Prediction.- Parameterized Algorithms for the Tree Containment Problem on Multifurcating Phylogenetic Network.
Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning.- LGFMDA: miRNA-disease association prediction with local and global feature representation learning.- TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-channel EEG Motor Imagery Classification.- HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction.- PrePSL: A Pre-training Method for Protein Subcellular Localization Using Graph Auto-Encoder and Protein Language Model.- MOGATFF: An Explainable Multi-Omics Prediction Model with Feature Enhancement for Genotype-Phenotype Association Analysis.- Accurate and Interpretable Wound Healing Progress Detection Based on a Task-related Knowledge Refinement Learning Method.- A novel weighted network control model for identifying coding and non-coding drivers in cancer.- A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features.- Identification of piRNA-disease association based on contrastive learning.- Autonomous Generation of an Autism Knowledge Question-and-Answer Dataset Using Large Language Models.- Double Metaphone Blocking: An Innovative Blocking Approach to Record Linkage.- Integrating High-Throughput RNA-RNA Interaction Data into RNA Secondary Structure Prediction.- GDCA-TransUNet for Dual-Stage Attention Enhanced Multi-Organ Segmentation in Abdominal CT Images.- E(3)-invariant diffusion model for pocket-aware peptide generation.- Simulating viral evolution and immune escape reinfection dynamics using agent-based modelling.- Practical colinear chaining on sequences revisited.- EnzHier: High-Precision Enzyme Function Prediction through Multi-Scale Feature Integration and Hierarchical Contrastive Learning.- Bidirectional Position-Context Feature Representation for Predicting DNA/RNA Modification Sites.- Optical Flow-Augmented Dual-Stream Network for Left Ventricular Ejection Fraction Prediction.- Joint Sparse Precision Matrix Estimation for Cancer Diagnosis.- An Efficient Parallel List Ranking Algorithm for Graph Concatenation on BSP Graph System.- scCMA:a contrastive masked autoencoder for single-cell RNA-seq embedding.- Drug-Target Interaction Prediction via Substructure Similarity-Guided Denoising and Hierarchical Feature Fusion.- Bioinformatics Course Reform Through Projects integrating History, Theory, and Practice.- BiGDC-BrainAgeNet: Enhancing EEG-Based Brain Age Prediction with Bidirectional Graph Diffusion Convolutions.- CT-Semi-Net: Segmentation of infected areas in lung CT images based on attention mechanism and semi-supervised learning.- Dynamic Knowledge-aware LLM for Adverse Drug Reaction Entity Recognition.- LiteSCTransNet: Lightweight CNN-Transformer for 3D Medical Image Segmentation.- ACMSI: An Innovative Automated Analysis Application Utilizing Computer Vision for Accurate Microsatellite Instability Classification.- AlloPED: Leveraging Protein Language Models and Structure Features for Allosteric Site Prediction.- Parameterized Algorithms for the Tree Containment Problem on Multifurcating Phylogenetic Network.
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