CIBCB 2006: Toronto, Ontario, Canada

• Yasir Arafat, Gour C. Karmakar, Joarder Kamruzzaman, Juan Fernández-Recio:
  Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching. 1-8
  
• Changhui Yan, Jing Hu:
  A Hidden Markov Model Approach to Identifying HTH Motifs Using Protein Sequence and Predicted Solvent Accessibility. 1-7
  
• Fa Zhang, Lin Xu, Jingchun Chen, Zhiyong Liu, Bo Yuan:
  A method to integrate, assess and characterize the protein-protein interactions. 1-7
  
• Juan Carlos Fernandez, Edgar E. Vallejo, Enrique Morett:
  Fuzzy C-means for inferring functional coupling of proteins from their phylogenetic profiles. 1-8
  
• Minh Ngoc Nguyen, Jagath C. Rajapakse:
  Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. 1-5
  
• Jung Hun Oh, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt, Jean Gao:
  Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data. 1-8
  
• Yan Meng:
  A Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer. 1-7
  
• A. Ammar Ghaibeh, Mikio Sasaki, Hiroshi Chuman:
  Using Voronoi Grid and SVM Linear Regression in Drug Discovery. 1-6
  
• Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan:
  Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. 1-6
  
• Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene:
  Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer. 1-8
  
• Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
  Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. 1-8
  
• Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
  Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. 1-8
  
• Reginaldo Bitello, Heitor S. Lopes:
  A Differential Evolution Approach for Protein Folding. 1-5
  
• Leslie Regad, Juliette Martin, Anne-Claude Camproux:
  Identification of non random motifs in loops using a structural alphabet. 1-9
  
• Cândida G. Silva, Vitaliy Ostropytskyy, Nuno Loureiro-Ferreira, Daniel P. Berrar, Martin Swain, Werner Dubitzky, Rui M. M. Brito:
  P-found: The Protein Folding and Unfolding Simulation Repository. 1-8
  
• Simon Knott, Parvin Mousavi, Sergio Baranzini:
  A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood. 1-8
  
• Mengxia Zhu, Qishi Wu, Yunfeng Yang, Jizhong Zhou:
  A New Approach to Identify Functional Modules Using Random Matrix Theory. 1-7
  
• Patrick C. H. Ma, Keith C. C. Chan:
  A Fuzzy Data Mining Technique for the Reconstruction of Gene Regulatory Networks from Time Series Expression Data. 1-8
  
• Ramesh Ram, Madhu Chetty, Trevor I. Dix:
  Causal Modeling of Gene Regulatory Network. 1-8
  
• Jennifer Hallinan, Anil Wipat:
  Clustering and Cross-talk in a Yeast Functional Interaction Network. 1-8
  
• Lutz Hamel:
  Visualization of Support Vector Machines with Unsupervised Learning. 1-8
  
• Dharmesh M. Maniyar, Ian T. Nabney:
  Data Visualization with Simultaneous Feature Selection. 1-8
  
• Habtom W. Ressom, Rency S. Varghese, Eduard Orvisky, Steven K. Drake, Glen L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman:
  Biomarker Identification and Rule Extraction from Mass Spectral Serum Profiles. 1-7
  
• David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore:
  Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. 1-8
  
• Mosaab Daoud, Stefan C. Kremer:
  Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network. 1-7
  
• Audrey Girouard, Noah W. Smith, Donna K. Slonim:
  Motif Evaluation by Leave-one-out Scoring. 1-7
  
• Lin Xu, Fa Zhang, Zhiyong Liu:
  A profile-based protein sequence alignment algorithm for a domain clustering database. 1-8
  
• Wen-Yun Yang, Bao-Liang Lu, Yang Yang:
  A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction. 1-8
  
• David Thornley, Stavros Petridis:
  Machine Learning in Basecalling Decoding Trace Peak Behaviour. 1-8
  
• Amin R. Mazloom, Kalyan Basu, Sajal K. Das:
  A Random Walk Modelling Approach for Passive Metabolic Pathways in Gram-Negative Bacteria. 1-8
  
• Kuanchung Chen, Yuh-Jyh Hu:
  Bicluster Analysis of Genome-Wide Gene Expression. 1-7
  
• Kenneth Bryan, Padraig Cunningham:
  Bottom-Up Biclustering of Expression Data. 1-8
  
• Young Bun Kim, Jean Gao:
  A New Hybrid Approach for Unsupervised Gene Selection. 1-8
  
• Leszek Gasieniec, Cindy Y. Li, Paul Sant, Prudence W. H. Wong:
  Efficient Probe Selection in Microarray Design. 1-8
  
• Boris Mirkin, Renata da Silva Camargo, Trevor I. Fenner, George Loizou, Paul Kellam:
  Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses. 1-8
  
• Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
  Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. 1-8
  
• Dan Ashlock, Wendy Ashlock, Gary Umphry:
  An Exploration of Differential Utility in Iterated Prisoner's Dilemma. 1-8
  
• Dan Ashlock, Karl Cottenie, Lindsey Carson, Kenneth Mark Bryden, Steven M. Corns:
  An Evolutionary Algorithm for the Selection of Geographically Informative Species. 1-7
  
• Somayeh Mahdav, Shahriar Gharibzadeh, Mostafa Rezaei-Tavirani, Farzad Towhidkhah, Soheil Shafiee:
  PSpice Simulation of Cardiac Impulse Propagation: studying the mechanisms of action potential propagation. 1-5
  
• Andrew Hamilton-Wright, Daniel W. Stashuk:
  Clinical Characterization of Electromyographic Data Using Computational Tools. 1-7
  
• Nelli Shimko, Marie-Pierre Dube:
  Bootstrap Inference with Neural-Network Modeling for Gene-Disease Association Testing. 1-7
  
• Topon Kumar Paul, Hitoshi Iba:
  Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. 1-6
  
• Sara Mostafavi, Sergio Baranzini, Jorge Oksenberg, Parvin Mousavi:
  A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis. 1-8
  
• Scott F. Smith:
  Covariance Searches for ncRNA Gene Finding. 1-7
  
• Zhuozhi Wang, Elisabeth R. M. Tillier:
  A Bayesian approach to pairwise RNA Secondary Structure Alignment. 1-8
  
• Jianmin Ma, Minh Ngoc Nguyen, Gary B. Fogel, Jagath C. Rajapakse:
  Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs. 1-8
  
• Kay C. Wiese, Andrew Hendriks, Alain Deschênes:
  Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. 1-9
  
• Justin Schonfeld, Dan Ashlock:
  Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery. 1-8
  
• Jehan Zeb Shah, Naomie Salim:
  A Fuzzy Kohonen SOM Implementation and Clustering of Bio-active Compound Structures for Drug Discovery. 1-6
  
• Ke Chen, Lukasz A. Kurgan, Jishou Ruan:
  Optimization of the Sliding Window Size for Protein Structure Prediction. 1-7
  
• Kamil Grabowski, Wojciech Sankowski, Malgorzata Napieralska, Mariusz Zubert, Andrzej Napieralski:
  Iris Recognition Algorithm Optimized for Hardware Implementation. 1-5
  
• Simon Knott, Parvin Mousavi, Sergio Baranzini:
  A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood. 1-8
  
• Ji He, Xinbin Dai, Xuechun Zhao:
  A Systematic Computational Approach for Transcription Factor Target Gene Prediction. 1-7
  
• Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
  A Stochastic model to estimate the time taken for Protein-Ligand Docking. 1-8
  
• Ryosuke Watanabe, Edgar E. Vallejo, Enrique Morett:
  Inferring functional coupling of proteins using the Evolutionary Bond Energy Algorithm. 1-6
  
• Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goebel, Guohui Lin:
  A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction. 1-8
  
• Jarukit Lertbantanawong, Jonathan H. Chan:
  A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets. 1-8
  
• Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-Der Hsiao, Hahn-Ming Lee, Jan-Ming Ho:
  E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags. 1-6
  
• Jianlong Qi, Jian Tang:
  Gene Ontology Driven Feature Selection from Microarray Gene Expression Data. 1-7
  
• Habtom W. Ressom, Yuji Zhang, Jianhua Xuan, Yue Wang, Robert Clarke:
  Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence. 1-8
  
• Mariusz Zubert, Malgorzata Napieralska, Andrzej Napieralski, Beata Sikorska, Pawel Liberski, Rafal Grams:
  The Image Registration of TME Biomedical Images in variant Creutzfeldt-Jakob Diseases. 1-8
  
• Hassan Masoom, Suprakash Datta, Amir Asif, Lesley Cunningham, Gillian Wu:
  A Fast Algorithm for Detecting Frame Shifts in DNA sequences. 1-8
  
• Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan:
  Prediction of the Number of Helices for the Twilight Zone Proteins. 1-7
  
• Herbert H. Tsang, Kay C. Wiese:
  SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. 1-10
  
• Steven M. Corns, H. Scott Hurd, Dan Ashlock, Kenneth Mark Bryden:
  Developing Antibiotic Regimens Using Evolutionary Algorithms. 1-6
  
• Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy:
  A Novel Graphical Model Approach to Segmenting Cell Images. 1-8
  
• Jingyi Yang, Jitender S. Deogun:
  G Protein-Coupled Receptor Classification at the Subfamily Level with Probabilistic Suffix Tree. 1-8