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Conferences in DBLP

2006 (conf/prib/2006)

  1. Jagath C. Rajapakse, Limsoon Wong, Raj Acharya
    Pattern Recognition in Bioinformatics: An Introduction. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:1-3 [Conf]
  2. Ryo Okada, Manabu Sugii, Hiroshi Matsuno, Satoru Miyano
    Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:4-14 [Conf]
  3. Maria Stepanova, Feng Lin, Valerie C.-L. Lin
    A Profile HMM for Recognition of Hormone Response Elements. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:15-22 [Conf]
  4. Loi Sy Ho, Jagath C. Rajapakse
    Graphical Approach to Weak Motif Recognition in Noisy Data Sets. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:23-31 [Conf]
  5. Shu Ju Hsieh, Chun-Yuan Lin, Ning Han Liu, Chuan Yi Tang
    Comparative Gene Prediction Based on Gene Structure Conservation. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:32-41 [Conf]
  6. Sayanthan Logeswaran, Eliathamby Ambikairajah, Julien Epps
    Computational Identification of Short Initial Exons. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:42-48 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:49-59 [Conf]
  8. Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
    Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:60-70 [Conf]
  9. Young Bun Kim, Jean Gao, Pawel Michalak
    A New Maximum-Relevance Criterion for Significant Gene Selection. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:71-80 [Conf]
  10. Stanley Ng Kwang Loong, Santosh K. Mishra
    Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:81-92 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:93-104 [Conf]
  12. Jianyu Shi, Shao-Wu Zhang, Yan Liang, Quan Pan
    Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:105-114 [Conf]
  13. Md. Enamul Karim, Laxmi Parida, Arun Lakhotia
    Using Permutation Patterns for Content-Based Phylogeny. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:115-125 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:126-132 [Conf]
  15. Zhuo Zhang, Merlin Veronika, See-Kiong Ng, Vladimir B. Bajic
    Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:133-139 [Conf]
  16. Kai-Tak Lam, Judice L. Y. Koh, Bharadwaj Veeravalli, Vladimir Brusic
    Incremental Maintenance of Biological Databases Using Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:140-150 [Conf]
  17. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:151-162 [Conf]
  18. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:163-173 [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:174-183 [Conf]
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