This book constitutes the refereed proceedings of the International Workshop on Data Mining for Biomedical Applications, BioDM 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006).
The 14 revised full papers presented together with 1 keynote talks were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on protein-protein interactions, database and search, bio data clustering, and in-silico diagnosis.
Author(s): Hon Nian Chua, Wing-Kin Sung, Limsoon Wong (auth.), Jinyan Li, Qiang Yang, Ah-Hwee Tan (eds.)
Series: Lecture Notes in Computer Science 3916 : Lecture Notes in Bioinformatics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 155
Tags: Database Management; Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Bioinformatics; Probability and Statistics in Computer Science; Health Informatics
Front Matter....Pages -
Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions....Pages 1-1
A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry....Pages 2-13
Filtering Bio-sequence Based on Sequence Descriptor....Pages 14-23
Automatic Extraction of Genomic Glossary Triggered by Query....Pages 24-34
Frequent Subsequence-Based Protein Localization....Pages 35-47
gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data....Pages 48-59
Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits....Pages 60-70
A Novel Clustering Method for Analysis of Gene Microarray Expression Data....Pages 71-81
Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results....Pages 82-92
Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra....Pages 93-105
Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles....Pages 106-115
Generation of Comprehensible Hypotheses from Gene Expression Data....Pages 116-123
Classification of Brain Glioma by Using SVMs Bagging with Feature Selection....Pages 124-130
Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction....Pages 131-142
Informative MicroRNA Expression Patterns for Cancer Classification....Pages 143-154
Back Matter....Pages -
