CIBCB 2009: Nashville, TN, USA

• Denny C. Dai, Herbert H. Tsang, Kay C. Wiese:
  rnaDesign: Local search for RNA secondary structure design. 1-7
  
• Herbert H. Tsang, Kay C. Wiese:
  SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm. 8-15
  
• Denny C. Dai, Kay C. Wiese:
  Performance prediction for RNA design using parametric and non-parametric regression models. 16-23
  
• Tianhua Wu, Zhidong Deng, Dandan Song:
  An approach for RNA secondary structure prediction based on Bayesian network. 24-30
  
• Dongsheng Che, Haibao Tang, Yinglei Song:
  Haplotype inference using a genetic algorithm. 31-37
  
• Daniel A. Ashlock, Sheridan K. Houghten:
  DNA error correcting codes: No crossover. 38-45
  
• Isye Arieshanti, Mikael Bodén, Stefan Maetschke, Fabian A. Buske:
  Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. 46-52
  
• Hao Zheng, Hongwei Wu:
  A novel LDA and PCA-based hierarchical scheme for metagenomic fragment binning. 53-59
  
• Daniel A. Ashlock, Colin Lee:
  Using diffusion characters for the taxonomy of self-organizing social networks. 60-67
  
• Julia Koehler, Ralf Mueller, Jens Meiler:
  Improved prediction of trans-membrane spans in proteins using an artificial neural network. 68-74
  
• Vojislav Kecman, Tao Yang:
  Protein fold recognition with adaptive local hyperplane algorithm. 75-78
  
• Leong Lee, Jennifer L. Leopold, Ronald L. Frank, Anne M. Maglia:
  Protein secondary structure prediction using rule induction from coverings. 79-86
  
• Md. Shihabuddin Sadi, Abu Z. Mohammad Sami, Imtiaz Uddin Ahmed, Abdullahil Baki Md. Ruhunnabi, Nirmalendu Das:
  Bioinformatics: Implementation of a proposed upgraded Smith-Waterman algorithm for local alignment. 87-91
  
• Daniel A. Ashlock, Taika von Königslöw:
  Diagnostic character location within the cryptic skipper butterfly species complex with an evolutionary algorithm. 92-99
  
• Jiang Tian, Hong Gu, Wenqi Liu:
  A method for improving protein localization prediction from datasets with outliers. 100-105
  
• Linda Fiaschi, Jonathan M. Garibaldi, Natalio Krasnogor:
  A framework for the application of decision trees to the analysis of SNPs data. 106-113
  
• Junwei Ma, Wenqi Liu, Hong Gu:
  Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble. 114-120
  
• Bernardo Penna Resende de Carvalho, Thais Melo Mendes, Ricardo de Souza Ribeiro, Ricardo Fortuna, José Marcos Veneroso, Maurício de Alvarenga Mudado:
  A system for recognition of biological patterns in toxins using computational intelligence. 121-127
  
• Raul Cruz-Cano, Ming-Ying Leung:
  Comparison of feature selection techniques for viral DNA replication origin prediction. 128-134
  
• Waleed Aljandal, William H. Hsu, Jing Xia:
  Predicting protein-protein interactions using numerical associational features. 135-139
  
• Daniel A. Ashlock, Wendy Ashlock:
  Simulation of the impact of retroviruses on genome organization of an artificial organism. 140-146
  
• Dolly Sharma, Sanguthevar Rajasekaran:
  A Simple Algorithm for (l, d) Motif Search1. 148-154
  
• Dolly Sharma, Sudha Balla, Sanguthevar Rajasekaran, Nikoletta DiGirolamo:
  Degenerate primer selection algorithms. 155-162
  
• Fadhl M. Al-Akwaa, Yasser M. Kadah:
  An automatic gene ontology software tool for bicluster and cluster comparisons. 163-167
  
• Arun Ravindran, Daniel J. Burns:
  A multi-threaded DNA tag/anti-tag library generator for multi-core platforms. 168-175
  
• Chun-Gui Xu, Kun-hong Liu, De-Shuang Huang:
  The analysis of microarray datasets using a genetic programming. 176-181
  
• Haixin Wang, Lijun Qian, Edward R. Dougherty:
  Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations. 182-185
  
• Youlian Pan, Jitao Zou, Yi Huang, Ziying Liu, Sieu Phan, Fazel Famili:
  Goal Driven Analysis of cDNA Microarray Data. 186-192
  
• Amin Assareh, L. Gwenn Volkert:
  Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis. 193-199
  
• Jaine K. Blayney, Haiying Wang, Huiru Zheng, Francisco Azuaje:
  Assessing the impact of network depth on the analysis of PPI networks: A case study. 200-207
  
• Matthew Conforth, Yan Meng, Chandra Valmikinathan, Xiaojun Yu:
  Nerve graft selection for peripheral nerve regeneration using neural networks trained by a hybrid ACO/PSO method. 208-214
  
• Marta Szachniuk, Mariusz Popenda, Ryszard W. Adamiak, Jacek Blazewicz:
  An assignment walk through 3D NMR spectrum. 215-219
  
• Jiri Novák, David Hoksza:
  An application of the metric access methods to the mass spectrometry data. 220-227
  
• Jennifer Hallinan, Matthew R. Pocock, Stephen G. Addinall, David A. Lydall, Anil Wipat:
  Clustering incorporating shortest paths identifies relevant modules in functional interaction networks. 228-236
  
• Le Bao, Zhou Zhu, Jingjing Ye:
  Modeling oncology gene pathways network with multiple genotypes and phenotypes via a copula method. 237-246
  
• Peng-Gang Sun, Lin Gao:
  Fast algorithms for detecting overlapping functional modules in protein-protein interaction networks. 247-254
  
• Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Eric Dawson, Jens Meiler:
  Application of machine learning approaches on quantitative structure activity relationships. 255-262
  
• David Hoksza:
  DDPIn - Distance and density based protein indexing. 263-270
  
• Haw-Chang Lan, Tsai-Rong Chang, Wen-Ching Liao, Yi-Nung Chung, Pau-Choo Chung:
  Knee MR image segmentation combining contextual constrained neural network and level set evolution. 271-277
  
• Chuan-Yu Chang, Jeng-Shiun Tsai, Chi-Jane Wang, Pau-Choo Chung:
  Emotion recognition with consideration of facial expression and physiological signals. 278-283
  
• Mutlu Mete, Umit Topaloglu:
  Statistical comparison of color model-classifier pairs in hematoxylin and eosin stained histological images. 284-291
  
• Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang:
  Shape modeling and clustering of white matter fiber tracts using fourier descriptors. 292-297
  
• Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West:
  Data synthesis and tool development for exploring imaging genomic patterns. 298-305
  

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