CIBCB 2008: Sun Valley, Idaho, USA

• Herbert H. Tsang, Kay C. Wiese:
  SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. 1-8
  
• Mars Cheung, Gary B. Fogel:
  Classification of mouse fRNA genes using evolved neural networks. 9-14
  
• Kay C. Wiese, Andrew Hendriks:
  A hybrid clustering/evolutionary algorithm for RNA folding. 15-21
  
• Dan Ashlock, Elizabeth Warner:
  Classifying synthetic and biological DNA sequences with side effect machines. 22-29
  
• Willard Davis, Ananth Kalyanaraman, Diane J. Cook:
  An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. 30-37
  
• Deborah Stoffer, L. Gwenn Volkert:
  Exploring chaos automata for protein sequences. 38-45
  
• Hongwei Wu:
  PCA-based linear combinations of oligonucleotide frequencies for metagenomic DNA fragment binning. 46-53
  
• Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda:
  Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem. 54-61
  
• Chang Hun You, Lawrence B. Holder, Diane J. Cook:
  Temporal and structural analysis of biological networks in combination with microarray data. 62-69
  
• Jin-Hyuk Hong, Sung-Bae Cho:
  Cancer classification with incremental gene selection based on DNA microarray data. 70-74
  
• Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Luca Sterpone:
  A graph-based representation of Gene Expression profiles in DNA microarrays. 75-82
  
• Jennifer Hallinan, Anil Wipat:
  Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks. 83-89
  
• Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat:
  Combining multiple types of biological data in constraint-based learning of gene regulatory networks. 90-97
  
• Maryam Salehi, Alan Ableson, Parvin Mousavi:
  Reverse engineering time series of gene expression data using Dynamic Bayesian networks and covariance matrix adaptation evolution strategy with explicit memory. 98-105
  
• Maryam Salehi, Paul G. Young, Parvin Mousavi:
  Reverse engineering of the transcriptional subnetwork in the yeast cell cycle pathway using Dynamic Bayesian Networks and evolutionary search. 106-111
  
• Margaret J. Eppstein, Paul Haake:
  Very large scale ReliefF for genome-wide association analysis. 112-119
  
• Paul M. Godley, David E. Cairns, Julie Cowie, John A. W. McCall:
  Fitness directed intervention crossover approaches applied to bio-scheduling problems. 120-127
  
• Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje:
  Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. 128-135
  
• Alan E. Alex, Sumeet Dua, Pradeep Chowriappa:
  Gene ranking through the integration of synchronization experiments. 136-142
  
• Rasha Kashef, Mohamed S. Kamel:
  Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets. 143-150
  
• Sunil Kumar, Rajni Garg, Srinivas R. Alla, Xiaoyu Zhang, Vivek K. Jalahalli:
  3D-Shape analysis of the HIV-1 protease ligand binding site. 151-158
  
• Chengpeng Bi, Michael C. Saunders, Bruce A. McPheron:
  Neuro-fuzzy classification of the Rhagoletis pomonella species group using digitized wing structures. 159-165
  
• Jesslyn Saw, Maria Stepanova, Lin Feng:
  Methods and strategies for construction of a phylogeny-adaptive hormone response element consensus model. 166-172
  
• Ji He:
  Improving feature representation of natural language gene functional annotations using automatic term expansion. 173-179
  
• Thiago Bassani, Júlio C. Nievola:
  Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation. 180-186
  
• Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath:
  Parallel multi-objective algorithms for the molecular docking problem. 187-194
  
• Yifeng Li, Yihui Liu:
  A Wrapper Feature Selection Method Based on Simulated Annealing Algorithm for Prostate Protein Mass Spectrometry Data. 195-200
  
• Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shinn-Ying Ho:
  ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization. 201-206
  
• Winston Yu-Chen Chen, Po-Yuan Chen, Calvin Yu-Chian Chen, Jing-Gung Chung:
  Exploring 3D-QSAR pharmacophore mapping of azaphenanthrenone derivatives for mPGES-1 inhibition Using HypoGen technique. 207-213
  
• Zejin Jason Ding, You Feng, Yujun George Zheng, Yan-Qing Zhang:
  Granular decision fusion systems for effective protein methylation pPrediction. 214-218
  
• Jing Hu, Changhui Yan:
  Mining sequence features for DNA-binding site prediction. 219-222
  
• Changchuan Yin, Stephen S.-T. Yau:
  Numerical representation of DNA sequences based on genetic code context and its applications in periodicity analysis of genomes. 223-227
  
• Hua Cao, Bahram Khoobehi, S. Sitharama Iyengar:
  Automated optic nerve head image fusion of nonhuman primate eyes using heuristic optimization algorithm. 228-232
  
• Arthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski:
  Discovering novel cancer therapies: A computational modeling and search approach. 233-240
  
• Jia Zeng, Reda Alhajj:
  Predicting translation initiation sites using a multi-agent architecture empowered with reinforcement learning. 241-248
  
• Srinivas R. Alla, Akmal Aulia, Sunil Kumar, Rajni Garg:
  Using hybrid GA-ANN to predict biological activity of HIV protease inhibitors. 249-255
  
• Dan Ashlock, Taika von Konigslow, Elizabeth Clare, Wendy Ashlock:
  Transience in the simulation of ring species. 256-263
  
• Dan Ashlock, Colin Lee:
  Characterization of extremal epidemic networks with diffusion characters. 264-271
  
• Dan Ashlock, Nicholas Rogers:
  A model of emotion in the prisoner's dilemma. 272-279