Data Mining for Biomedical Applications PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006. Proceedings /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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| Series: | Lecture Notes in Computer Science,
3916 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Keynote Talk
- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions
- Database and Search
- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry
- Filtering Bio-sequence Based on Sequence Descriptor
- Automatic Extraction of Genomic Glossary Triggered by Query
- Frequent Subsequence-Based Protein Localization
- Bio Data Clustering
- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data
- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits
- A Novel Clustering Method for Analysis of Gene Microarray Expression Data
- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results
- In-silico Diagnosis
- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra
- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles
- Generation of Comprehensible Hypotheses from Gene Expression Data
- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection
- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction
- Informative MicroRNA Expression Patterns for Cancer Classification.
