Pattern Recognition in Bioinformatics

7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings

  • Tetsuo Shibuya
  • Hisashi Kashima
  • Jun Sese
  • Shandar Ahmad
Conference proceedings PRIB 2012

DOI: 10.1007/978-3-642-34123-6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7632)

Table of contents

  1. Front Matter
  2. Generic Methods – I

  3. Generic Methods – II

    1. Shuzhong Zhang, Kun Wang, Cody Ashby, Bilian Chen, Xiuzhen Huang
      Pages 59-70
    2. Chendra Hadi Suryanto, Hiroto Saigo, Kazuhiro Fukui
      Pages 71-81
  4. Visualization, Image Analysis, and Platforms

    1. Gabriel Keeble-Gagnère, Johan Nyström-Persson, Matthew I. Bellgard, Kenji Mizuguchi
      Pages 106-117
  5. Applications of Pattern Recognition Techniques

    1. João Cardoso, Paulo Vilaça, Simão Soares, Miguel Rocha
      Pages 118-128
    2. Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen, Maíra M. Tomazzoli, Ana C. M. Zeri et al.
      Pages 129-140
    3. Y. -h. Taguchi, Akira Okamoto
      Pages 141-152
  6. Protein Structure and Docking

    1. Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Torshin, Valentina Sulimova, Oleg Seredin et al.
      Pages 153-165
    2. Fabienne Thomarat, Fabien Lauer, Yann Guermeur
      Pages 166-177
  7. Complex Data Analysis

    1. Raunaq Malhotra, Shruthi Prabhakara, Raj Acharya
      Pages 210-221

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012.
The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.

Keywords

evolutionary algorithms extreme machine learning genetic algorithm protein structure prediction supervised classification

Editors and affiliations

  • Tetsuo Shibuya
    • 1
  • Hisashi Kashima
    • 2
  • Jun Sese
    • 3
  • Shandar Ahmad
    • 4
  1. 1.Institute of Medical ScienceUniversity of TokyoMinato-kuJapan
  2. 2.Department of Mathematical InformaticsThe University of TokyoBunkyo-kuJapan
  3. 3.Department of Comouter ScienceTokyo Institute of TechnologyMeguro-kuJapan
  4. 4.Bioinformatics ProjectNational Institute of Biomedical InnovationSuitaJapan

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-34122-9
  • Online ISBN 978-3-642-34123-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349