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  • Conference proceedings
  • © 2006

Data Mining for Biomedical Applications

PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings

Editors:

  1. Jinyan Li

    1. School of Computer Engineering, Nanyang Technological University, Singapore

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  2. Qiang Yang

    1. The Hong Kong University of Science and Technology, Hong Kong, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Ah-Hwee Tan

    1. Intelligent Systems Centre and School of Computer Engineering, Nanyang Technological University, Singapore

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3916)

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

Conference series link(s): BioDM: International Workshop on Data Mining for Biomedical Applications

Conference proceedings info: BioDM 2006.

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Table of contents (15 papers)

  1. Front Matter

    PDF

  3. Database and Search

    2. Filtering Bio-sequence Based on Sequence Descriptor

      • Te-Wen Hsieh, Huang-Cheng Kuo, Jen-Peng Huang
      Pages 14-23

    4. Frequent Subsequence-Based Protein Localization

      • Osmar R. Zaïane, Yang Wang, Randy Goebel, Gregory Taylor
      Pages 35-47

  4. Bio Data Clustering

    1. gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data

      • Haoliang Jiang, Shuigeng Zhou, Jihong Guan, Ying Zheng
      Pages 48-59

    4. Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results

      • Hye-Sung Yoon, Sun-Young Ahn, Sang-Ho Lee, Sung-Bum Cho, Ju Han Kim
      Pages 82-92

  5. In-silico Diagnosis

    1. Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra

      • Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert Bowser
      Pages 93-105

    3. Generation of Comprehensible Hypotheses from Gene Expression Data

      • Yuan Jiang, Ming Li, Zhi-Hua Zhou
      Pages 116-123

    4. Classification of Brain Glioma by Using SVMs Bagging with Feature Selection

      • Guo-Zheng Li, Tian-Yu Liu, Victor S. Cheng
      Pages 124-130

    5. Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction

      • Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley
      Pages 131-142

  6. Back Matter

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  1. Data Mining for Biomedical Applications

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Keywords

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Editors and Affiliations

  • School of Computer Engineering, Nanyang Technological University, Singapore

    Jinyan Li

  • The Hong Kong University of Science and Technology, Hong Kong, China

    Qiang Yang

  • Intelligent Systems Centre and School of Computer Engineering, Nanyang Technological University, Singapore

    Ah-Hwee Tan

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Bibliographic Information

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

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