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

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  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

last updated on Wed May 22 04:23:03 2013 by the dblp team
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