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ORCID20th ISBRA 2024: Kunming, China - Part II
- Wei Peng
, Zhipeng Cai, Pavel Skums:
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14955, Springer 2024, ISBN 978-981-97-5130-3 - Haojie Zhai, Yusen Ye, Yuxuan Hu, Lanying Wang, Lin Gao:
Exploring Hierarchical Structures of Cell Types in scRNA-seq Data. 1-13 - Ying Zheng, Shibo Xu:
Predicting Frequencies of Drug Side Effects Using Graph Attention Networks with Multiple Features. 14-25 - Mingkai Wang, Zekun Yin, Lifeng Yan, Yang Yang, Fangjin Zhu, Xiaohui Duan, Xin Li, Bertil Schmidt, Weiguo Liu:
RabbitTrim: Highly Optimized Trimming of Illumina Sequencing Data on Multi-core Platforms. 26-37 - Pei Zhang, Zhihong Liu, Liangliang Liu:
A Hybrid Feature Fusion Network for Predicting HER2 Status on H &E-Stained Histopathology Images. 38-46 - Yongxin He, Jin Liu, Min Li, Ruiqing Zheng:
scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. 47-58 - Xiao Liang, Haochen Zhao, Jianxin Wang:
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model. 59-70 - Yidan Dai, Ye Lin, Wenjun Ma, Xiaomao Fan, Ye Li, Huijun Yue:
A Multi-scale Attention Network for Sleep Arousal Detection with Single-Channel ECG. 71-82 - Lifeng Yan, Zekun Yin, Jinjin Li, Yang Yang, Tong Zhang, Fangjin Zhu, Xiaohui Duan, Bertil Schmidt, Weiguo Liu:
RabbitSAlign: Accelerating Short-Read Alignment for CPU-GPU Heterogeneous Platforms. 83-94 - Xuetao Wang, Qichang Zhao, Jianxin Wang:
FedKD-DTI: Drug-Target Interaction Prediction Based on Federated Knowledge Distillation. 95-106 - Mai Luo, Yuansong Zeng, Jianing Chen, Ningyuan Shangguan, Wenhao Zhou, Yuedong Yang:
Accurately Deciphering Novel Cell Type in Spatially Resolved Single-Cell Data Through Optimal Transport. 107-118 - Noy Biton, Sharon Shoob, Ani Amar, Hillel Kugler:
Synthesis of Boolean Networks with Weak and Strong Regulators. 119-131 - Xiangyu Li, Liangliang Liu:
Patch-Based Coupled Attention Network to Predict MSI Status in Colon Cancer. 132-139 - Shuang Chu, Xindi Huang, Guihua Duan, Cheng Yan:
Predicting Blood-Brain Barrier Permeability Through Multi-view Graph Neural Network with Global-Attention and Pre-trained Transformer. 140-151 - Wuguo Tang, Qichang Zhao, Jianxin Wang:
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM. 152-163 - Kang An, Mingyu Lu, Yijia Zhang:
DMSDR: Drug Molecule Synergy-Enhanced Network for Drug Recommendation with Multi-source Domain Knowledge. 164-175 - Dengju Yao, Yuehu Wu, Xiaojuan Zhan:
A Graph Transformer-Based Method for Predicting LncRNA-Disease Associations Using Matrix Factorization and Automatic Meta-Path Generation. 176-188 - Chang Liu, Tao Liu, Jingye Sheng, Jikun Zheng, Pengcheng Huang, Bin Wang:
The Dynamic Spatiotemporal Features Based on Rich Club Organization in Autism Spectrum Disorder. 189-201 - Yantuanjin Ma, Xingli Deng, Hongqing Zhang, Yuan Qian:
Integrated Analysis of Autophagy-Related Genes Identifies Diagnostic Biomarkers and Immune Correlates in Preeclampsia. 202-220 - Ying An, Zhenrui Zhao, Xianlai Chen:
Multi-grained Cross-Modal Feature Fusion Network for Diagnosis Prediction. 221-232 - Xiang Zhang, Chenliang Qian, Jie Xia, Fan Yang:
MOL-MOE: Learning Drug Molecular Characterization Based on Mixture of Expert Mechanism. 233-244 - Ying An, Yaqi Bai, Yuan Liu, Lin Guo, Xianlai Chen:
A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare. 245-256 - Yixiao Wang, Ying Wang:
FunBGC: An Intelligent Framework for Fungal Biosynthetic Gene Cluster Identification. 257-268 - Jinhui Wang, Xinyi Zhao, Jiayin Wang:
An Automatic Recommendation Method for Single-Cell DNA Variant Callers Based on Meta-Learning Framework. 269-280 - Jianhong Cheng, Rui Feng, Jinyang Li, Jun Xu:
Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation. 281-290 - Zehao Zhan, Yuping Sun, Bilian Zhu, Jie Ling, Manshi Hu, Shun Yao:
Multi-scale Mean Teacher for Unsupervised Cross-Modality Abdominal Organ Segmentation with Limited Annotations. 291-302 - Xinqiang Wen, Yugui Fu, Shenghui Bi, Ju Xiang, Xinliang Sun, Xiangmao Meng:
Subgraph-Aware Dynamic Attention Network for Drug Repositioning. 303-314 - Ming Chen, Zitao Hu, Xiujuan Lei, Chunyan Ji, Zhao Tong, Yi Pan:
Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks. 315-326 - Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. 327-338 - Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu:
Hypergraph Representation Learning for Cancer Drug Response Prediction. 339-349 - Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu:
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion. 350-359 - Jun Long, Jichao Yang, Lin Guo, Ying An:
KUMA-MI: A 12-Lead Knowledge-Guided Multi-branch Attention Networks for Myocardial Infarction Localization. 360-372 - Wei Lan, Shengzu Huang, Xun Sun, Haibo Liao, Qingfeng Chen, Junyue Cao:
Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization. 373-382 - Sau Van Nguyen Van, Hui Jiang, Feng Sha, Ye Li:
Early Prediction of SGA-LGA Fetus at the First Trimester Ending Through Weighted Voting Ensemble Learning Approach. 383-397 - Xing Lv, Jie Deng, Weizhong Zhao, Xinhui Tu, Xingpeng Jiang:
A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. 398-409 - Jingwei Chen, Weijie Miao, Wenyuan Wu, Linhan Yang, Haonan Yuan:
Secure Relative Detection in (Forensic) Database with Homomorphic Encryption. 410-422 - Xiaoqing Peng, Wenlong Jie, Zihao Li, Junjie You, Wentong Feng:
Noninvasive Diagnosis of Cancer Based on the Heterogeneity and Fragmentation Features of Cell-Free Mitochondrial DNA. 423-433 - Jin Liu, Hao Du, Junbin Mao, Jianchun Zhu, Xu Tian:
A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. 434-444 - Chenliang Xie, Haochen Zhao, Jianxin Wang:
DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations. 445-457 - Yuxiang Li, Haochen Zhao, Jianxin Wang:
MEMDA: A Multi-similarity Integration Pre-completion Algorithm with Error Correction for Predicting Microbe-Drug Associations. 458-469 - Chaokun Yan, Jiabao Li, Qi Feng, Junwei Luo, Huimin Luo:
ResDeepGS: A Deep Learning-Based Method for Crop Phenotype Prediction. 470-481 - Fenghui Zhang, Kuo Yang, Chenqian Zhao, Haixu Li, Xin Dong, Haoyu Tian, Xuezhong Zhou:
Benchmarking Biomedical Relation Knowledge in Large Language Models. 482-495
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