


default search action
21st ISBRA 2025: Helsinki, Finland - Part II
- Jing Tang

, Xin Lai
, Zhipeng Cai
, Wei Peng
, Yanjie Wei
:
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15757, Springer 2026, ISBN 978-981-95-0694-1 - Saisai Ma, Xuehua Bi, Linlin Zhang, Haifeng Xu, Kai Zhao:

Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning. 1-13 - Chunyang Jiang, Yuanbo Guo, Linlin Zhang, Xuehua Bi, Kai Zhao:

LGFMDA: miRNA-Disease Association Prediction with Local and Global Feature Representation Learning. 14-25 - Yang Jiao, Mingzhe Cui, Tao Chen, Ruibin Bai

, Yi Pan:
TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-Channel EEG Motor Imagery Classification. 26-37 - Jiancun Zhou, Hulin Kuang, Jian-xin Wang:

HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction. 38-48 - Shicheng Ma, Weiyang Liang, Kai Zhao, Xuehua Bi, Linlin Zhang:

PrePSL: A Pre-training Method for Protein Subcellular Localization Using Graph Auto-encoder and Protein Language Model. 49-60 - Zhipeng Gao, Kai Zhao, Guanglei Yu, Xuehua Bi, Linlin Zhang:

MOGATFF: An Explainable Multi-Omics Prediction Model with Feature Enhancement for Genotype-Phenotype Association Analysis. 61-72 - Juan He

, Xiaoyan Wang, Yi Pan, Zhengshan Wang, Bokai Yang, Zhiming Zhang, Tzu-Ming Liu, Yunpeng Cai, Long Chen, Ruitao Xie:
Accurate and Interpretable Wound Healing Progress Detection Based on a Task-Related Knowledge Refinement Learning Method. 73-85 - Bolin Chen, Jianjun Zhang, Weihua Meng, Youpeng Hu, Yuhang Li, Xinyue Hu, Zhouning Xu, Zhengyu Wang, Xingyu Liao, Xingyi Li:

A Novel Weighted Network Control Model for Identifying Coding and Non-coding Drivers in Cancer. 86-97 - Xinyue Xu, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu:

A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features. 98-109 - Yajun Liu, Fan Zhang, Yulian Ding, Aimin Li, Rong Fei:

Identification of piRNA-Disease Association Based on Contrastive Learning. 110-122 - Lei Chu, Hongyan Wu, Yi Pan:

Autonomous Generation of an Autism Knowledge Question-and-Answer Dataset Using Large Language Models. 123-138 - Nidhibahen Shah, Joyanta Basak, Sartaj Sahni, Anup Mathur, Krista Park, Daniel Weinberg, Sanguthevar Rajasekaran:

Double Metaphone Blocking: An Innovative Blocking Approach to Record Linkage. 139-150 - Denis Skibinski

, Thomas Spicher
, Leonhard Sidl
, Paulína Holotová, Yingjie Pan, Maximilian Faissner, Cristian A. Velandia-Huerto
, Ronny Lorenz
, Maria Waldl
, Hua-Ting Yao
, Peter F. Stadler
:
Integrating High-Throughput RNA-RNA Interaction Data Into RNA Secondary Structure Prediction. 151-162 - Manjir Gurung, Ronald Bbosa

, Kafui Efio-Akolly, Feng Liu, Ruoshan Kong:
GDCA-TransUNet for Dual-Stage Attention Enhanced Multi-organ Segmentation in Abdominal CT Images. 163-176 - Po-Yu Liang, Jun Bai:

E(3)-Invariant Diffusion Model for Pocket-Aware Peptide Generation. 177-189 - C. Malcolm Todd

, Yuan Tian
, Nathaniel Osgood
, Ian McQuillan
, Lingling Jin
:
Simulating Viral Evolution and Immune Escape Reinfection Dynamics Using Agent-Based Modelling. 190-202 - Nicola Rizzo

, Manuel Cáceres
, Veli Mäkinen
:
Practical Colinear Chaining on Sequences Revisited. 203-216 - Hongyu Duan, Ziyan Li, Yixuan Wu, Bozhen Ren, Wen Chen, Fanghua Wang, Dongming Lan, Yonghua Wang, Li C. Xia

:
EnzHier: Accurate Enzyme Function Prediction Through Multi-scale Feature Integration and Hierarchical Contrastive Learning. 217-227 - Cheng Xu, Mingzhao Wang

, Jinyan Li, Juanying Xie
:
Bidirectional Position-Context Feature Representation for Predicting DNA/RNA Modification Sites. 228-240 - Feng Deng, Yi Tang, Qinghua Fu, Lin Guo, Ying An:

Optical Flow-Augmented Dual-Stream Network for Left Ventricular Ejection Fraction Prediction. 241-252 - Rwan Ahmed

, Kang Jiang
, Fang-Xiang Wu
:
Joint Sparse Precision Matrix Estimation for Cancer Diagnosis. 253-264 - Maocheng Cao, Zhelang Deng, Qiucheng Miao, Jintao Meng, Yanjie Wei, Jiefeng Cheng:

An Efficient Parallel List Ranking Algorithm for Graph Concatenation on BSP Graph System. 265-278 - Xiang Chen, Wenfeng He, Junnan Yu, Zhaoyu Fang:

scCMA: A Contrastive Masked Autoencoder for Single-Cell RNA-Seq Embedding. 279-294 - Minzhu Xie

, Dongze Deng
, Yabin Kuang
:
Drug-Target Interaction Prediction via Substructure Similarity-Guided Denoising and Hierarchical Feature Fusion. 295-306 - Jianxin Wang, Hongdong Li, Guihua Duan, Jin Liu, Min Li:

Bioinformatics Course Reform Through Projects Integrating History, Theory, and Practice. 307-319 - Jian Wang

, Yiding Zhang
, Zhengyang Song, Ting Cheng:
BiGDC-BrainAgeNet: Enhancing EEG-Based Brain Age Prediction with Bidirectional Graph Diffusion Convolutions. 320-332 - Haoze Du

, Shumei Hou, Xiaolei Wang
, Bin Sun, Dongfang Zhang, Junliang Du, Qingkai Hu, Weifeng Guo
, Xianfang Wang
:
CT-Semi-net: Segmentation of Infected Areas in Lung CT Images Based on Attention Mechanism and Semi-supervised Learning. 333-346 - Yunzhi Qiu, Bo Zhang, Haohao Zhu, Changrong Min, Haifeng Liu, Tongxuan Zhang, Liang Yang, Hongfei Lin:

Dynamic Knowledge-Aware LLM for Adverse Drug Reaction Entity Recognition. 347-358 - Yu Sheng, Yiyi Hong, Yongchang Jia, Guihua Duan:

LiteSCTransNet: Lightweight CNN-Transformer for 3D Medical Image Segmentation. 359-370 - Jiale Wen, Xiao Lan, Yaru Chen, Kamen Ivanov, Jia Gu, Shifu Chen:

ACMSI: An Innovative Automated Analysis Application Utilizing Computer Vision for Accurate Microsatellite Instability Classification. 371-382 - Xiaochuan Chen, Jianqiang Zheng, Zhenni Huang, Ziqi Xu, Junye Huang, Yueyi Tan, Yanjie Wei, Huiling Zhang:

AlloPED: Leveraging Protein Language Models and Structure Features for Allosteric Site Prediction. 383-397 - Feng Shi, Zhanglian Lin, Xin Zeng, Jingyi Liu:

Parameterized Algorithms for the Tree Containment Problem on Multifurcating Phylogenetic Network. 398-410 - Duo Feng

, Shuaicheng Li
, Yue Zhang
:
Automated Prediction of Protein Pair Distances Based on Deep Learning: A Novel Approach to Protein Structure Prediction in SCOP. 411-426

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














