Table Of Contents

• Chapter I: Introduction to Data Mining in Bioinformatics
• Hui-Huang Hsu, Tamkang University, Taiwan

• Chapter II: Hierarchical Profiling, Scoring and Applications in Bioinformatics
• Li Liao, University of Deleware, USA

• Chapter III: Combinatorial Fusion Analysis: Methods and Practices of Combining Multiple Scoring Systems
• D. Frank Hsu, Fordham Univeristy, USA
• Yun-Sheng Chung, National Tsing Hua University, Taiwan
• Bruce S. Kristal, Cornell Univeristy, USA

• Chapter IV: DNA Sequence Visualization
• Hsuan T. Chang, National University of Science and Technology, Taiwan

• Chapter V: Proteomics with Mass Spectrometry
• Simon Lin, Northwestern University, USA
• Salvatore Mungal, Duke University Medical Center, USA
• Richard Hanley, Duke University Medical Center, USA
• Edward F. Patz, Jr., Duke University Medical Center, USA
• Patrick McConnell, Duke University Medical Center, USA

• Chapter VI: Efficient and Robust Analysis of Large Phylogenetic Datasets
• Sven Rahmann, Bielefeld University, Germany
• Tobia Mller, University of Würzburg, Germany
• Thomas Dandekar, University of Würzburg, Germany
• Matthias Wolf, University of Würzburg, Germany

• Chapter VII: Algorithmic Aspects of Protein Threading
• Tatsuya Akutsu, Kyoto University, Japan

• Chapter VIII: Pattern Differentiations and Formations for Heterogeneous Genomic Data through Hybrid Approaches
• Arpad Keleman, State University of New York at Buffalo, USA
• Yulan Liang, State University of New York at Buffalo, USA

• Chapter IX: Parameterless Clustering Techniques for Gene Expression Analysis
• Vincent S. Tseng, National Cheng Kung University, Taiwan
• Ching-Pin Kao, National Cheng Kung University, Taiwan

• Chapter X: Jointly Discriminatory Gene Selection for Molecular Classification of Cancer
• Junying Zhang, Xidian University, China

• Chapter XI: A Haplotype Analysis System for Genes Discovery of Common Diseases
• Takashi Kido, HuBit Genomix, Inc., Japan

• Chapter XII: A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules
• Peng-Yeng Yin, National Chi Nan University, Taiwan
• Shyong-Jian Shyu, Ming Chuan University, Taiwan
• Guan-Shieng Huang, National Chi Nan University, Taiwan
• Shuang-Te Liao, Ming Chuan University, Taiwan

• Chapter XIII: In Silico Recognition of Protein-Protein Interactions
• Byung-Hoon Park, Computational Biology Institute, USA
• Phuongan Dam, University of Georgia, USA
• Chongle Pan, Computational Biology Institute, USA
• Chongle Pan, Ying Xu University of Georgia, USA
• Al Geist, Compuational Biology Institute, USA
• Grant Heffelfinger, Sandia National Labratories, USA
• Nagiza Samatova, Computational Biology Institute, USA

• Chapter XIV: Differntial Asosciation Rules: Understanding Annotations in Protein Interaction Networks
• Christopher Besemann, North Dakota State University, USA
• Ann Denton, North Dakota State University, USA
• Ajay Yekkirala, North Dakota State University, USA
• Ron Huchison, Richard Stockton College of New Jersey, USA
• Marc Anderson, North Dakota State University, USA

• Chapter XV: Mining BioLiterature: Towards Automatic Annotation of Genes and Proteins
• Francisco M. Couto, Departamento de Informática, Portugal
• Mário J. Silva, Departamento de Informática, Portugal

• Chapter XVI: Comparative Genome Annotation Systems
• Kwangmin Choi, Indiana University, USA
• Sun Kim, Indiana University, USA