Pattern Recognition in Bioinformatics

1. Front Matter

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2. Full Papers

   1. Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions

      • Chun-Wei Tung

      Pages 1-9

   2. Using Topology Information for Protein-Protein Interaction Prediction

      • Adriana Birlutiu, Tom Heskes

      Pages 10-22

   3. Biases of Drug–Target Interaction Network Data

      • Twan van Laarhoven, Elena Marchiori

      Pages 23-33

   4. Logol: Expressive Pattern Matching in Sequences. Application to Ribosomal Frameshift Modeling

      • Catherine Belleannée, Olivier Sallou, Jacques Nicolas

      Pages 34-47

   5. Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data

      • Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Beatrice Duval

      Pages 48-59

   6. SFFS-SW: A Feature Selection Algorithm Exploring the Small-World Properties of GNs

      • Fábio Fernandes da Rocha Vicente, Fabrício Martins Lopes

      Pages 60-71

   7. CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments

      • E. Larios, Y. Zhang, L. Cao, F. J. Verbeek

      Pages 72-84

   8. CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest

      • Seyed Ziaeddin Alborzi, D. A. K. Maduranga, Rui Fan, Jagath C. Rajapakse, Jie Zheng

      Pages 85-97

   9. Supervised Selective Kernel Fusion for Membrane Protein Prediction

      • Alexander Tatarchuk, Valentina Sulimova, Ivan Torshin, Vadim Mottl, David Windridge

      Pages 98-109

3. Back Matter

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This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions. The focus of the conference was on the latest Research in Pattern Recognition and Computational Intelligence-Based Techniques Applied to Problems in Bioinformatics and Computational Biology.

• Bioinformatics
• Computational biology
• Pattern Matching
• Pattern recognition
• Protein-Protein Interaction Prediction
• classification
• computational proteomics
• data mining
• graph theory
• information theory
• support vector machines
• algorithm analysis and problem complexity

• Department of Information Engineering, University of Padova, Padova, Italy

  Matteo Comin

• School of Biotechnology, Science for Life Labratory and Swedish e-Science Research Centre, Royal Institute of Technology, Solna, Sweden

  Lukas Käll

• Department of Computer Science, Faculty of Sciences, Radboud University, Nijmegen, The Netherlands

  Elena Marchiori

• School of Computer Science, University of Windsor, Windsor, Canada

  Alioune Ngom

• School of Computer Engineering, Nanyang Technological University, Singapore

  Jagath Rajapakse

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