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Data Mining for Biomedical Applications

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

  • Conference proceedings
  • © 2006

Overview

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)

Included in the following conference series:

Conference proceedings info: BioDM 2006.

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Table of contents (15 papers)

  1. Front Matter

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  3. Database and Search

    1. A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry

      • Kang Ning, Ket Fah Chong, Hon Wai Leong
      Pages 2-13

    2. Filtering Bio-sequence Based on Sequence Descriptor

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

    3. Automatic Extraction of Genomic Glossary Triggered by Query

      • Jiao Li, Xiaoyan Zhu
      Pages 24-34

    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

    2. Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits

      • Sunshin Kim, Kwang Su Jung, Keun Ho Ryu
      Pages 60-70

    3. A Novel Clustering Method for Analysis of Gene Microarray Expression Data

      • Fei Luo, Juan Liu
      Pages 71-81

    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

    2. Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles

      • Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo
      Pages 106-115

    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. Informative MicroRNA Expression Patterns for Cancer Classification

      • Yun Zheng, Chee Keong Kwoh
      Pages 143-154

  6. Back Matter

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Other volumes

  1. Data Mining for Biomedical Applications

Keywords

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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