BIOKDD 2002: Edmonton, Alberta, Canada

• Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
  Foreword.
  
• Table of Contents.
  

Invited Talk

• Jiawei Han:
  How Can Data Mining Help Bio-Data Analysis? 1-2
  

Structure Mining

• Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff, Mohammed Javeed Zaki:
  Mining Protein Contact Maps. 3-10
  
• Mukund Deshpande, Michihiro Kuramochi, George Karypis:
  Automated Approaches for Classifying Structures. 11-18
  
• Sen Zhang, Li Liao, Jean-François Tomb, Jason Tsong-Li Wang:
  Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results. 19-24
  
• Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall:
  Generalization Methods in Bioinformatics. 25-32
  

Data Mining and Drug Design

• George Forman:
  Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery. 33-36
  
• Huma Lodhi, Yike Guo:
  Gram-Schmidt Kernels Applied to Structure Activity Analysis for Drug Design. 37-42
  
• John L. Pfaltz, Christopher M. Taylor:
  Closed Set Mining of Biological Data. 43-48
  

Gene Expression

• Abdelghani Bellaachia, David Portnoy, Yidong Chen, Abdel. G. Elkahloun:
  E-CAST: A Data Mining Algorithm for Gene Expression Data. 49-54
  
• Li Zhang, Aidong Zhang, Murali Ramanathan:
  Visualized Classification of Multiple Sample Types. 55-62
  
• Jessica M. Phan, Raymond T. Ng, Man Saint Yuen, Steve Jones:
  GEA: A Toolkit for Gene Expression Analysis. 63-70
  

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