Conferences in DBLP

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (pakdd)
2006 (conf/pakdd/2006biodm)

1. Hon Nian Chua, Wing-Kin Sung, Limsoon Wong
   Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:1- [Conf]
   
2. Kang Ning, Ket Fah Chong, Hon Wai Leong
   A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:2-13 [Conf]
   
3. Te-Wen Hsieh, Huang-Cheng Kuo, Jen-peng Huang
   Filtering Bio-sequence Based on Sequence Descriptor. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:14-23 [Conf]
   
4. Jiao Li, Xiaoyan Zhu
   Automatic Extraction of Genomic Glossary Triggered by Query. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:24-34 [Conf]
   
5. Osmar R. Zaïane, Yang Wang, Randy Goebel, Gregory J. Taylor
   Frequent Subsequence-Based Protein Localization. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:35-47 [Conf]
   
6. Haoliang Jiang, Shuigeng Zhou, Jihong Guan, Ying Zheng
   gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:48-59 [Conf]
   
7. Sunshin Kim, Kwang Su Jung, Keun Ho Ryu
   Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:60-70 [Conf]
   
8. Fei Luo, Juan Liu
   A Novel Clustering Method for Analysis of Gene Microarray Expression Data. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:71-81 [Conf]
   
9. Hye-Sung Yoon, Sun-Young Ahn, Sang-Ho Lee, Sung-Bum Cho, Ju Han Kim
   Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results. [Citation Graph (0, 0)][DBLP]
   BioDM, 2006, pp:82-92 [Conf]
   
10. Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert Bowser
    Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:93-105 [Conf]
    
11. Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo
    Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:106-115 [Conf]
    
12. Yuan Jiang, Ming Li, Zhi-Hua Zhou
    Generation of Comprehensible Hypotheses from Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:116-123 [Conf]
    
13. Guo-Zheng Li, Tian-Yu Liu, Victor S. Cheng
    Classification of Brain Glioma by Using SVMs Bagging with Feature Selection. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:124-130 [Conf]
    
14. Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley
    Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:131-142 [Conf]
    
15. Yun Zheng, Chee Kwoh
    Informative MicroRNA Expression Patterns for Cancer Classification. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:143-154 [Conf]