Machine learning in bioinformatics
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Other Authors / Creators: | Zhang, Yan-Qing. Rajapakse, Jagath Chandana. |
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Format: | Electronic eBook |
Language: | English |
Imprint: | Hoboken, N.J. : Wiley, c2009. |
Series: | Wiley series on bioinformatics.
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Subjects: | |
Online Access: | Available in ProQuest Ebook Central - Academic Complete. |
Table of Contents:
- Foreword
- Preface
- Contributors
- 1. Feature Selection for Genomic and Proteomic Data Mining
- 2. Comparing and Visualizing Gene Selection and Classification Methods for Microarray Data
- 3. Adaptive Kernel Classifiers Via Matrix Decomposition Updating for Biological Data Analysis
- 4. Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems
- 5. Fuzzy Gene Mining: A Fuzzy-Based Framework for Cancer Microarray Data Analysis
- 6. Feature Selection for Ensemble Learning and Its Application
- 7. Sequence-Based Prediction of Residue-Level Properties in Proteins
- 8. Consensus Approaches to Protein Structure Prediction
- 9. Kernel Methods in Protein Structure Prediction
- 10. Evolutionary Granular Kernel Trees for Protein Subcellular Location Prediction
- 11. Probabilistic Models for Long-Range Features in Biosequences
- 12. Neighborhood Profile Search for Motif Refinement
- 13. Markov/Neural Model for Eukaryotic Promoter Recognition
- 14. Eukaryotic Promoter Detection Based on Word and Sequence Feature Selection and Combination
- 15. Feature Characterization and Testing of Bidirectional Promoters in the Human GenomeùSignificance and Applications in Human Genome Research
- 16. Supervised Learning Methods for MicroRNA Studies
- 17. Machine Learning for Computational Haplotype Analysis
- 18. Machine Learning Applications in SNPûDisease Association Study
- 19. Nanopore Cheminformatics-Based Studies of Individual Molecular Interactions
- 20. An Information Fusion Framework for Biomedical Informatics
- Index