15. KDD 2009: Paris, France - Workshop on Statistical and Relational Learning in Bioinformatics

• Jorge M. Arevalillo, Hilario Navarro:
  Using random forests to uncover bivariate interactions in high dimensional small data sets. 3-6
  
• Tammy M. K. Cheng, Yu-En Lu, Pietro Liò:
  Identification of structurally important amino acids in proteins by graph-theoretic measures. 7-11
  
• W. Hämäläinen:
  Lift-based search for significant dependencies in dense data sets. 12-16
  
• Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden:
  Finding optimal parameters for edit distance based sequence classification is NP-hard. 17-21
  
• Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg:
  Multi-class protein fold recognition using large margin logic based divide and conquer learning. 22-26
  
• Uros Midic, A. Keith Dunker, Zoran Obradovic:
  Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet. 27-31
  
• Jan Ramon, Fabrizio Costa:
  Handling missing values and censored data in PCA of pharmacological matrices. 32-34
  
• Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo:
  Comparing graph-based representations of protein for mining purposes. 35-38
  
• H. P. Shanahan:
  Can we improve on the identification of transcription factor binding sites? 39-40