Bioinformatics Research and Applications: 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part II

Author:   Jing Tang ,  Xin Lai ,  Zhipeng Cai ,  Wei Peng
Publisher:   Springer
Volume:   15757
ISBN:  

9789819506941


Pages:   400
Publication Date:   07 September 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Bioinformatics Research and Applications: 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part II


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Overview

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.  

Full Product Details

Author:   Jing Tang ,  Xin Lai ,  Zhipeng Cai ,  Wei Peng
Publisher:   Springer
Imprint:   Springer
Volume:   15757
ISBN:  

9789819506941


ISBN 10:   9819506948
Pages:   400
Publication Date:   07 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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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