CIBCB 2011: Paris, France

Sequence Analysis and Gene Finding

• Bo Chen, Ping Ji:
  Predicting coding region candidates in the DNA sequence based on visualization without training. 1-6
  
• Leong Lee, Jennifer L. Leopold, Ronald L. Frank:
  Protein secondary structure prediction using BLAST and Relaxed Threshold Rule Induction from Coverings. 7-14
  
• K. Z. Mao, Feng Yang, Wenyin Tang:
  Regularized linear discriminant analysis and its recursive implementation for gene subset selection. 15-21
  
• Wenbo Jiang, Kay C. Wiese:
  Combined covariance model for non-coding RNA gene finding. 22-26
  
• Nicholas George Erho, Kay C. Wiese:
  Secondary structure element voting for RNA gene finding. 27-34
  
• Edward W. Lowe, Mariusz Butkiewicz, Matthew Spellings, Albert Omlor, Jens Meiler:
  Comparative analysis of machine learning techniques for the prediction of logP. 35-40
  

Poster Session

• Nafiseh Forouzideh, Maryam Tayefeh Mahmoudi, Kambiz Badie:
  Organizational texts classification using artificial immune recognition systems. 41-48
  
• Alessandro Gherardi, Alessandro Bevilacqua, Filippo Piccinini:
  Illumination field estimation through background detection in optical microscopy. 49-54
  
• Ludovico Carozza, Alessandro Bevilacqua, Filippo Piccinini:
  An incremental method for mosaicing of optical microscope imagery. 55-60
  
• Daniel A. Ashlock, Andrew McEachern:
  A simulation of bacterial communities. 61-68
  
• Mika Sato-Ilic:
  Generalized operators and its application to a nonlinear fuzzy clustering model. 69-75
  

Novel Applications of Computational Intelligence

• Daniel A. Ashlock, Elisabeth Shiller:
  Fitting contact networks to epidemic behavior with an evolutionary algorithm. 76-83
  
• Chengpeng Bi:
  Tackling the challenging motif problem through hybrid particle swarm optimized alignment clustering. 84-91
  
• John Orth, Sheridan K. Houghten:
  Optimizing the Salmon Algorithm for the construction of DNA error-correcting codes. 102-108
  
• Wendy Ashlock, Daniel A. Ashlock:
  Designing artificial organisms for use in biological simulations. 109-116
  

Computational Solutions of Biological Problems

• Fei Hu, Nan Gao, Meng Zhang, Jijun Tang:
  Maximum likelihood phylogenetic reconstruction using gene order encodings. 117-122
  
• Chengpeng Bi, Mara Becker, J. Steven Leeder:
  Derivation of minimum best sample size from microarray data sets: A Monte Carlo approach. 129-134
  
• Jian Shi, William Arndt, Fei Hu, Jijun Tang:
  Isolating - a new resampling method for gene order data. 135-140
  
• Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
  Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach. 141-145
  

Applications of CI to Biomedical Problems

• Bongile Mzenda, David J. Brown, Alexander Gegov:
  Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment. 146-153
  
• Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu:
  Accelerating kernel clustering for biomedical data analysis. 154-161
  
• Duong Dai Doan, Yunli Wang, Youlian Pan:
  Utilization of gene ontology in semi-supervised clustering. 162-168
  
• Elizabeth A. Cudney, Steven M. Corns:
  A comparison of Finite State Classifier and Mahalanobis-Taguchi System for multivariate pattern recognition in skin cancer detection. 169-175
  
• Alton B. Coalter, Jennifer L. Leopold:
  ROAR: A Reference Ontology for Anatomical Relations. 176-183
  
• Zhen Wang, Parvin Mousavi:
  Reverse engineering of gene regulatory networks: A systems approach. 184-189
  

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