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Advanced Intelligent Computing in Bioinformatics

20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. De-Shuang Huang

    1. Eastern Institute of Technology, Ningbo, China

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  2. Yijie Pan

    1. Eastern Institute of Technology, Ningbo, China

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  3. Qinhu Zhang

    1. Eastern Institute of Technology, Ningbo, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14882)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ICIC 2024.

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About this book

This two-volume set LNBI 14881-14882 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 6-volume set LNAI 14875-14880 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024.

The total of 863 regular papers were carefully reviewed and selected from 2189 submissions.

The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them.

The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.

 

Keywords

Table of contents (41 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Biomedical Data Modeling and Mining

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning

      • Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou
      Pages 3-14

    3. Adaptive Weight Sampling and Graph Transformer Neural Network Framework for Cell Type Annotation of Scrna-seq Data

      • Lin Yuan, Shengguo Sun, Zhujun Li, Shoukang Zhang, Xingang Wang, Yushui Geng
      Pages 15-24

    4. BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method

      • Jiewei Li, Hui Li, Lingxiao Xu, SiyeYang, Ping Wei, Junli Li
      Pages 25-37

    5. CDDTR: Cross-Domain Autoencoders for Predicting Cell Type Specific Drug-Induced Transcriptional Responses

      • Hanjun Zhang, Yunxiang Cai, Fengya Ge, Wenjuan Zhang, Jinqian Li, Shuxin Chen et al.
      Pages 38-49

    6. ChiMamba: Predicting Chromatin Interactions Based on Mamba

      • Jianing Zhang, Chao Song, Ting Cui, Chunquan Li, Jiquan Ma
      Pages 50-61

    7. Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering

      • Lin Yuan, Zhijie Xu, Zhujun Li, Shoukang Zhang, Chunyu Hu, Wendong Yu et al.
      Pages 62-71

    8. Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention

      • Qiwen Wang, Chen Lin, Wei Su, Liang Xiao, Xiangxiang Zeng
      Pages 72-83

    9. CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU

      • Xianghua Kong, Cong Shen, Jijun Tang
      Pages 84-95

    10. DeepMHAttGRU-DTI: Prediction of Drug-Target Interactions Based on Knowledge Graph Random Walk Embeddings and GRU Neural Network

      • Wanjie Yu, Haitao Yu
      Pages 96-107

    11. DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical Recommendation

      • Qingyi Pan, Jingyi Zhang
      Pages 108-118

    12. Drug Molecule Generation Method Based on Fusion of Protein Sequence Features

      • Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang
      Pages 119-130

    13. Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion

      • Shuo Hu, Jing Hu, Xiaolong Zhang
      Pages 131-142

    14. Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism

      • Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
      Pages 143-154

    15. Fully Convolutional Neural Network for Predicting Cancer-Specific CircRNA-MiRNA Interaction Sites

      • Wei Liu, JiaYing Wei, DiMing Wu, Ke Chen, Zhen Shen
      Pages 155-163

    16. GSDPI: An Integrated Feature Extraction Framework for Predicting Novel Drug-Protein Interaction

      • Yun Zhou, Yiran Ma, Dong Liu, Jiangli Shang, Wei Wang
      Pages 164-176

    17. Heterogeneous Genome Compression on Mobile Devices

      • Liangliang Chen, Xiaotong Wang, Ziqiang Liao, Juncong Lin
      Pages 177-188

    18. HyperCPI: A Novel Method Based on Hypergraph for Compound Protein Interaction Prediction with Good Generalization Ability

      • Qianxi Lin, Zipeng Fan, Yanfei Li, Peng Zhang
      Pages 189-200

    19. iEMNN: An Iterative Integration Method for Single-Cell Transcriptomic Data Based on Network Similarity Enhancement and Mutual Nearest Neighbors

      • Xuesheng Lin, Yusheng Jiang, Jinting Guan
      Pages 201-211
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Other volumes

  1. Advanced Intelligent Computing Technology and Applications

  2. Advanced Intelligent Computing Technology and Applications

  3. Advanced Intelligent Computing Technology and Applications

  4. Advanced Intelligent Computing Technology and Applications

  5. Advanced Intelligent Computing Technology and Applications

  6. Advanced Intelligent Computing Technology and Applications

  7. Advanced Intelligent Computing Technology and Applications

  8. Advanced Intelligent Computing Technology and Applications

  9. Advanced Intelligent Computing Technology and Applications

  10. Advanced Intelligent Computing Technology and Applications

  11. Advanced Intelligent Computing Technology and Applications

  12. Advanced Intelligent Computing Technology and Applications

  13. Advanced Intelligent Computing Technology and Applications

  14. Advanced Intelligent Computing Technology and Applications

  15. Advanced Intelligent Computing Technology and Applications

  16. Advanced Intelligent Computing Technology and Applications

  17. Advanced Intelligent Computing Technology and Applications

  18. Advanced Intelligent Computing Technology and Applications

  19. Advanced Intelligent Computing Technology and Applications

  20. Advanced Intelligent Computing in Bioinformatics

  21. Advanced Intelligent Computing in Bioinformatics

Editors and Affiliations

  • Eastern Institute of Technology, Ningbo, China

    De-Shuang Huang, Yijie Pan, Qinhu Zhang

Bibliographic Information

  • Book Title: Advanced Intelligent Computing in Bioinformatics

  • Book Subtitle: 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part II

  • Editors: De-Shuang Huang, Yijie Pan, Qinhu Zhang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-97-5692-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-5691-9Published: 31 July 2024

  • eBook ISBN: 978-981-97-5692-6Published: 30 July 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXV, 482

  • Number of Illustrations: 15 b/w illustrations, 159 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Bioinformatics

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