CIBCB 2007: Honolulu, Hawaii, USA

• Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
  Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. 1-8
  
• Filippo Menolascina, Stefania Tommasi, Angelo Paradiso, Marco Cortellino, Vitoantonio Bevilacqua, Giuseppe Mastronardi:
  Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective. 9-16
  
• Ji He, Xinbin Dai, Xuechun Zhao:
  Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression. 17-24
  
• Dan Ashlock, Ling Guo:
  Evolutionary Parameter Setting of Multi-clustering. 25-31
  
• Hui-Ling Huang, Yi-Hsiung Chen, Dwight D. Koeberl, Shinn-Ying Ho:
  Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data. 32-38
  
• Jahangheer S. Shaik, Mohammed Yeasin:
  Two-way Clustering using Fuzzy ASI for Knowledge Discovery in Microarrays. 39-45
  
• Jack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Zuojie Luo, Jianling Li:
  Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches. 46-53
  
• Nancy L. Sobczak, George F. Corliss, Martin A. Seitz, Peter J. Tonellato:
  Cluster Methodology Defines Archetype Sentinel Consomic Rats. 54-57
  
• Lan Chang, Pau-Choo Chung, Chang-Wen Chen:
  Combining Neural Network and Wavelet Transformn for Trigger Asynchrony Detection. 58-64
  
• Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang, Chin-Tai Yu:
  Analysis and Prevention of Dispension Errors by Using Data Mining Techniques. 65-70
  
• Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merrill Knapp, Carolyn L. Talcott, Keith Laderoute, Joe W. Gray, Paul T. Spellman:
  Spectral Decomposition of Signaling Networks. 76-81
  
• Haixin Wang, Lijun Qian, Edward R. Dougherty:
  Inference of Gene Regulatory Networks using S-System: A Unified Approach. 82-89
  
• Nelli Shimko, Marie-Pierre Dube:
  Gene-Gene Interaction Tests Using SVM and Neural Network Modeling. 90-97
  
• Christine Smyth, Danny Coomans:
  Clustering Microarrays with Predictive Weighted Ensembles. 98-105
  
• Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu:
  Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data. 106-112
  
• Noha A. Yousri, Mohamed A. Ismail, Mohamed S. Kamel:
  Discovering Connected Patterns in Gene Expression Arrays. 113-120
  
• Chase Krumpelman, Joydeep Ghosh:
  Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. 121-126
  
• Evgeny Gladilin, Sandra Götze, Jose Mateos-Langerak, Roel van Driel, Karl Rohr, Roland Eils:
  Geometrical probability approach for analysis of 3D chromatin structure in interphase cell nuclei. 127-134
  
• Dongsheng Che, Jizhen Zhao, Liming Cai, Ying Xu:
  Operon Prediction in Microbial Genomes Using Decision Tree Approach. 135-142
  
• Ye-In Chang, Wei-Horng Yeh, Jiun-Rung Chen, Jen-Wei Hu:
  An ACGT-Words Tree for Efficient Data Access in Genomic Databases. 143-150
  
• Moulik Kothari, Bernard M. E. Moret:
  An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations. 151-158
  
• Tristan Cazenave:
  Overestimation for Multiple Sequence Alignment. 159-164
  
• Kuo-Chen Li, Dar-Jen Chang, Eric C. Rouchka, Yuan Yan Chen:
  Biological Sequence Mining Using Plausible Neural Network and its Application to Exon/intron Boundaries Prediction. 165-169
  
• Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook:
  Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. 170-177
  
• Zuojian Tang, Sieu Phan, Youlian Pan, A. Fazel Famili:
  Prediction of Co-Regulated Gene Groups through Gene Ontology. 178-184
  
• Fatemeh Bakouie, Mohammad Hassan Moradi:
  Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering. 185-188
  
• Jennifer Hallinan, Anil Wipat:
  Motifs and Modules in Fractured Functional Yeast Networks. 189-196
  
• Amit U. Sinha, Raj Bhatnagar:
  Efficient and Scalable Motif Discovery using Graph-based Search. 197-204
  
• Qian Zhong, Riccardo Boscolo, Timothy S. Gardner, Vwani P. Roychowdhury:
  Inferring Regulatory Interactions between Transcriptional Factors and Genes by Propagating Known Regulatory Links. 205-211
  
• Bogdan Done, Purvesh Khatri, Arina Done, Sorin Draghici:
  Semantic Analysis of Genome Annotations using Weighting Schemes. 212-218
  
• Pooja, Jagath C. Rajapakse:
  Comparison of Human and Mouse Pseudogenes. 219-224
  
• Young-Rae Cho, Woochang Hwang, Aidong Zhang:
  Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. 233-238
  
• Herbert H. Tsang, Kay C. Wiese:
  SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. 239-246
  
• Swati Pande, Amar Raheja, Dennis R. Livesay:
  Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks. 247-253
  
• Menaka Rajapakse, Lin Feng:
  Predicting Peptide Binders of Flexible Lengths with Genetic Annealing Algorithm. 262-267
  
• Scott F. Smith:
  RNA Gene Finding with Biased Mutation Operators. 268-274
  
• Chengpeng Bi:
  A Genetic-Based EM Motif-Finding Algorithm for Biological Sequence Analysis. 275-282
  
• Raul Cruz-Cano, Deepak Chandran, Ming-Ying Leung:
  Computational Prediction of Replication Origins in Herpesviruses. 283-290
  
• Pawel Kupis, Jacek Mandziuk:
  Evolutionary-Progressive Method for Multiple Sequence Alignment. 291-297
  
• Mihail Popescu, Dong Xu, Erik Taylor:
  GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontological Fuzzy Rule System. 298-303
  
• Sara Nasser, Gregory Vert, Monica N. Nicolescu, Alison Murray:
  Multiple Sequence Alignment using Fuzzy Logic. 304-311
  
• Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi:
  Cost-Sensitive Fuzzy Classification for Medical Diagnosis. 312-316
  
• Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan:
  Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. 317-322
  
• Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre:
  Hybrid Architecture for Accelerating DNA Codeword Library Searching. 323-330
  
• Miguel Rocha, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira:
  Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms. 331-337
  
• Dan Ashlock, Fatemeh Jafargholi:
  Evolving Extremal Epidemic Networks. 338-345
  
• Heike Sichtig:
  Building Smart Machines by Utilizing Spiking Neural Networks; Current Perspectives. 346-350
  
• Waldo Cancino Ticona, Alexandre C. B. Delbem:
  Multi-Criterion Phylogenetic Inference using Evolutionary Algorithms. 351-358
  
• Luiz C. S. Rozante, Marco Dimas Gubitoso, Sergio R. Matioli:
  A Framework for Discrete Modeling of Juxtacrine Signaling Systems. 359-366
  
• Stefan Maetschke, Marcus Gallagher, Mikael Bodén:
  A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. 367-372
  
• George Papadopoulos, Martin Brown:
  Feature Sensitivity on Biochemical Signaling Pathways. 373-380
  
• Jing Yang, Visakan Kadirkamanathan, Stephen A. Billings:
  In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. 387-394
  
• Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami, Michael Parker:
  Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression. 395-401
  
• Shotaro Akaho, Kenji Fukumizu:
  Active Learning for Network Estimation. 402-409
  
• Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
  Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. 410-417
  
• Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan:
  Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. 418-425
  
• Karsten Kube, Andreas Herzog, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Synchronization in Complex Dynamical Networks. 426-431
  
• Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
  Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes. 439-446
  
• Jie Zhou, Sundeep Yedida:
  Channel Selection in EEG-based Prediction of Shoulder/Elbow Movement Intentions involving Stroke Patients: A Computational Approach. 455-460
  
• Pedro Gabriel Ferreira, Cândida G. Silva, Rui M. M. Brito, Paulo J. Azevedo:
  A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. 461-468
  
• James C. Costello, Jade E. Buchanan-Carter, Mehmet M. Dalkilic, Justen Andrews:
  Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans. 469-475
  
• Yalan Ye, Jing Wan, Zhi-Lin Zhang, Chen Jia, Wu Lei:
  A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm. 476-479
  
• Jen-Suh Chern, Saiwei Yang, Chi-Wen Long, Chen-Yu Lo:
  The Difference of Bilateral Limbs Involvement During Trunk Bending and Reaching in Stroke Patients. 480-487
  
• Yuchou Chang, Dah-Jye Lee, Yonggang Wang:
  Color-Texture Segmentation of Medical Images Based on Local Contrast Information. 488-493
  
• Matthias Dose, Christian Gruber, Ariane Grunz, Christian Hook, Jürgen Kempf, Georg Scharfenberg, Bernhard Sick:
  Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills. 494-501
  
• Amin Assareh, Mohammad Hassan Moradi:
  Extracting Efficient Fuzzy If-Then Rules from Mass Spectra of Blood Samples to Early Diagnosis of Ovarian Cancer. 502-506
  

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