Machine learning in bioinformatics

Saved in:
Bibliographic Details
Other Authors / Creators:Zhang, Yan-Qing.
Rajapakse, Jagath Chandana.
Format: Electronic eBook
Language:English
Imprint: Hoboken, N.J. : Wiley, c2009.
Series:Wiley series on bioinformatics.
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