Biological Data Mining
eBook - PDF

Biological Data Mining

  1. 733 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Biological Data Mining

Book details
Table of contents
Citations

About This Book

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

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Yes, you can access Biological Data Mining by Jake Y. Chen, Stefano Lonardi, Jake Y. Chen, Stefano Lonardi in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2009
ISBN
9781420086850
Edition
1
Topic
Computer Science
Subtopic
Programming Games
Index
Computer Science

Table of contents

  1. Front cover
  2. Contents
  3. Preface
  4. Editors
  5. Contributors
  6. Part I: Sequence, Structure, and Function
  7. Chapter 1. Consensus Structure Prediction for RNA Alignments
  8. Chapter 2. Invariant Geometric Properties of Secondary Structure Elements in Proteins
  9. Chapter 3. Discovering 3D Motifs in RNA
  10. Chapter 4. Protein Structure Classification Using Machine Learning Methods
  11. Chapter 5. Protein Surface Representation and Comparison: New Approaches in Structural Proteomics
  12. Chapter 6. Advanced Graph Mining Methods for Protein Analysis
  13. Chapter 7. Predicting Local Structure and Function of Proteins
  14. Part II: Genomics, Transcriptomics, and Proteomics
  15. Chapter 8. Computational Approaches for Genome Assembly Validation
  16. Chapter 9. Mining Patterns of Epistasis in Human Genetics
  17. Chapter 10. Discovery of Regulatory Mechanisms from Gene Expression Variation by eQTL Analysis
  18. Chapter 11. Statistical Approaches to Gene Expression Microarray Data Preprocessing
  19. Chapter 12. Application of Feature Selection and Classification to Computational Molecular Biology
  20. Chapter 13. Statistical Indices for Computational and Data Driven Class Discovery in Microarray Data
  21. Chapter 14. Computational Approaches to Peptide Retention Time Prediction for Proteomics
  22. Part III: Functional and Molecular Interaction Networks
  23. Chapter 15. Inferring Protein Functional Linkage Based on Sequence Information and Beyond
  24. Chapter 16. Computational Methods for Unraveling Transcriptional Regulatory Networks in Prokaryotes
  25. Chapter 17. Computational Methods for Analyzing and Modeling Biological Networks
  26. Chapter 18. Statistical Analysis of Biomolecular Networks
  27. Part IV: Literature, Ontology, and Knowledge Integration
  28. Chapter 19. Beyond Information Retrieval: Literature Mining for Biomedical Knowledge Discovery
  29. Chapter 20. Mining Biological Interactions from Biomedical Texts for Efficient Query Answering
  30. Chapter 21. Ontology-Based Knowledge Representation of Experiment Metadata in Biological Data Mining
  31. Chapter 22. Redescription Mining and Applications in Bioinformatics
  32. Part V: Genome Medicine Applications
  33. Chapter 23. Data Mining Tools and Techniques for Identification of Biomarkers for Cancer
  34. Chapter 24. Cancer Biomarker Prioritization: Assessing the in vivo Impact of in vitro Models by in silico Mining of Microarray Database, Literature, and Gene Annotation
  35. Chapter 25. Biomarker Discovery by Mining Glycomic and Lipidomic Data
  36. Chapter 26. Data Mining Chemical Structures and Biological Data
  37. Index
  38. Back cover