PAKDD Workshop BioDM 2006: Singapore

Jinyan Li, Qiang Yang, Ah-Hwee Tan (Eds.): Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings. Lecture Notes in Computer Science 3916 Springer 2006, ISBN 3-540-33104-2

Keynote Talk

Hon Nian Chua, Wing-Kin Sung, Limsoon Wong:
Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions. 1

Kang Ning, Ket Fah Chong, Hon Wai Leong:
A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry. 2-13
Te-Wen Hsieh, Huang-Cheng Kuo, Jen-Peng Huang:
Filtering Bio-sequence Based on Sequence Descriptor. 14-23
Jiao Li, Xiaoyan Zhu:
Automatic Extraction of Genomic Glossary Triggered by Query. 24-34
Osmar R. Zaïane, Yang Wang, Randy Goebel, Gregory J. Taylor:
Frequent Subsequence-Based Protein Localization. 35-47

Haoliang Jiang, Shuigeng Zhou, Jihong Guan, Ying Zheng:
gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data. 48-59
Sunshin Kim, Kwang Su Jung, Keun Ho Ryu:
Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits. 60-70
Fei Luo, Juan Liu:
A Novel Clustering Method for Analysis of Gene Microarray Expression Data. 71-81
Hye-Sung Yoon, Sun-Young Ahn, Sang-Ho Lee, Sung-Bum Cho, Ju Han Kim:
Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results. 82-92

Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert Bowser:
Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. 93-105
Xin Jin, Anbang Xu, Rongfang Bie, Ping Guo:
Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles. 106-115
Yuan Jiang, Ming Li, Zhi-Hua Zhou:
Generation of Comprehensible Hypotheses from Gene Expression Data. 116-123
Guo-Zheng Li, Tian-Yu Liu, Victor S. Cheng:
Classification of Brain Glioma by Using SVMs Bagging with Feature Selection. 124-130
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley:
Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction. 131-142
Yun Zheng, Chee Keong Kwoh:
Informative MicroRNA Expression Patterns for Cancer Classification. 143-154