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Intelligent Computing in Bioinformatics

10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. De-Shuang Huang

    1. School of Electronics and Information Engineering, Tongji University, Shanghai, China

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  2. Kyungsook Han

    1. School of Computer Science and Engineering Inha University, Incheon, South Korea

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  3. Michael Gromiha

    1. Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8590)

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

Included in the following conference series:

Conference proceedings info: ICIC 2014.

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About this book

This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.

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Table of contents (58 papers)

  1. Front Matter

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  2. Machine Learning

    1. Predicting the Outer/Inner BetaStrands in Protein Beta Sheets Based on the Random Forest Algorithm

      • Li Tang, Zheng Zhao, Lei Zhang, Tao Zhang, Shan Gao
      Pages 1-9

    2. Extract Features Using Stacked Denoised Autoencoder

      • Yushu Gao, Lin Zhu, Hao-Dong Zhu, Yong Gan, Li Shang
      Pages 10-14

    3. Cancer Classification Using Ensemble of Error Correcting Output Codes

      • Zhihao Zeng, Kun-Hong Liu, Zheyuan Wang
      Pages 15-24

    4. Early Detection Method of Alzheimer’s Disease Using EEG Signals

      • Dhiya Al-Jumeily, Shamaila Iram, Abir Jaffar Hussain, Vialatte Francois-Benois, Paul Fergus
      Pages 25-33

  3. Neural Networks

    1. Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation

      • Fen Ye, Jun-Feng Xia, Yan-Wen Chong, Yan Zhang, Chun-Hou Zheng
      Pages 34-40

    2. Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation

      • Fengli Zhou, Xiaoli Lin
      Pages 41-47

    3. Training Deep Fourier Neural Networks to Fit Time-Series Data

      • Michael S. Gashler, Stephen C. Ashmore
      Pages 48-55

    4. Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction

      • Haya Al-Askar, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi
      Pages 56-62

  4. Image Processing

    1. Multi-scale Level Set Method for Medical Image Segmentation without Re-initialization

      • Xiao-Feng Wang, Hai Min, Le Zou, Yi-Gang Zhang
      Pages 63-71

    2. A Novel Local Regional Model Based on Three-Layer Structure

      • Hai Min, Xiao-Feng Wang
      Pages 72-79

    3. Multi-modality Medical Case Retrieval Using Heterogeneous Information

      • Menglin Wu, Quansen Sun
      Pages 80-91

    4. An Incremental Updating Based Fast Phenotype Structure Learning Algorithm

      • Hao Cheng, Yu-Hai Zhao, Ying Yin, Li-Jun Zhang
      Pages 92-103

  5. Computational Systems Biology and Medical Informatics

    1. A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation

      • Yang Meng, Lei Deng, Zhigang Chen, Cheng Zhou, Diwei Liu, Chao Fan et al.
      Pages 104-111

    2. An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection

      • Paul Fergus, David Hignett, Abir Jaffar Hussain, Dhiya Al-Jumeily
      Pages 112-118

    3. Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach

      • Yong Gao, Weilin Hao, Zhigang Chen, Lei Deng
      Pages 119-125

    4. Concept Mining of Binary Gene Expression Data

      • Ping He, Xiaohua Xu, Yongsheng Ju, Lin Lu, Yanqiu Xi
      Pages 126-133

    5. Inference of Dynamic Gene Regulatory Relations with Multiple Regulators

      • Jeonghoon Lee, Yu Chen, Kyungsook Han
      Pages 134-140

    6. Evolving Additive Tree Model for Inferring Gene Regulatory Networks

      • Guangpeng Li, Yuehui Chen, Bin Yang, Yaou Zhao, Dong Wang
      Pages 141-147

    7. Analyzing Support Vector Machine Overfitting on Microarray Data

      • Henry Han
      Pages 148-156
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Other volumes

  1. Intelligent Computing Theory

  2. Intelligent Computing Methodologies

  3. Intelligent Computing in Bioinformatics

Editors and Affiliations

  • School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  • School of Computer Science and Engineering Inha University, Incheon, South Korea

    Kyungsook Han

  • Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India

    Michael Gromiha

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