PRIB 2006: Hong Kong, China

• Jagath C. Rajapakse, Limsoon Wong, Raj Acharya:
  Pattern Recognition in Bioinformatics: An Introduction. 1-3
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Signal and Motif Detection; Gene Selection

• Ryo Okada, Manabu Sugii, Hiroshi Matsuno, Satoru Miyano:
  Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation. 4-14
  Electronic Edition (link) BibTeX
• Maria Stepanova, Feng Lin, Valerie C.-L. Lin:
  A Profile HMM for Recognition of Hormone Response Elements. 15-22
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• Loi Sy Ho, Jagath C. Rajapakse:
  Graphical Approach to Weak Motif Recognition in Noisy Data Sets. 23-31
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• Shu Ju Hsieh, Chun-Yuan Lin, Ning Han Liu, Chuan Yi Tang:
  Comparative Gene Prediction Based on Gene Structure Conservation. 32-41
  Electronic Edition (link) BibTeX
• Sayanthan Logeswaran, Eliathamby Ambikairajah, Julien Epps:
  Computational Identification of Short Initial Exons. 42-48
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• Alvin L.-S. Chua, Anna V. Ivshina, Vladimir A. Kuznetsov:
  Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes. 49-59
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• Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng:
  Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. 60-70
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• Young Bun Kim, Jean Gao, Pawel Michalak:
  A New Maximum-Relevance Criterion for Significant Gene Selection. 71-80
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Models of DNA, RNA, and Protein Structures

• Stanley Ng Kwang Loong, Santosh K. Mishra:
  Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding. 81-92
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• Blaise Gassend, Charles W. O'Donnell, William Thies, Andrew Lee, Marten van Dijk, Srinivas Devadas:
  Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines. 93-104
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• Jianyu Shi, Shao-Wu Zhang, Yan Liang, Quan Pan:
  Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine. 105-114
  Electronic Edition (link) BibTeX
• Md. Enamul Karim, Laxmi Parida, Arun Lakhotia:
  Using Permutation Patterns for Content-Based Phylogeny. 115-125
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Biological Databases and Imaging

• Alessandro Sette, Huynh-Hoa Bui, John Sidney, Philip E. Bourne, Soren Buus, Ward Fleri, R. Kubo, O. Lund, D. Nemazee, Julia V. Ponomarenko, M. Sathiamurthy, S. Stewart, S. Way, S. S. Wilson, Björn Peters:
  The Immune Epitope Database and Analysis Resource. 126-132
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• Zhuo Zhang, Merlin Veronika, See-Kiong Ng, Vladimir B. Bajic:
  Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases. 133-139
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• Kai-Tak Lam, Judice L. Y. Koh, Bharadwaj Veeravalli, Vladimir Brusic:
  Incremental Maintenance of Biological Databases Using Association Rule Mining. 140-150
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• Fa-Yu Wang, Yue Wang, Tsung-Han Chan, Chong-Yung Chi:
  Blind Separation of Multichannel Biomedical Image Patterns by Non-negative Least-Correlated Component Analysis. 151-162
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• Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon, Nikola Kasabov:
  Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. 163-173
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• Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna G. Milanova, Roger Buchanan, Astrid A. Prinz:
  Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials. 174-183
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