Amazon cover image
Image from Amazon.com

Introduction to machine learning and bioinformatics [electronic resource] / Sushmita Mitra ... [et al.].

Contributor(s): Material type: TextSeries: Series in computer science and data analysisPublication details: Boca Raton : CRC Press, c2008.Description: 366 p. : illISBN:
  • 9781420011784 (ebook : PDF)
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources: Available additional physical forms:
  • Also available in print format.
Contents:
1. Introduction -- 2. The biology of a living organism -- 3. Probabilistic and model-based learning -- 4. Classification techniques -- 5. Unsupervised learning techniques -- 6. Computational intelligence in bioinformatics -- 7. Connections between machine learning and bioinformatics -- 8. Machine learning in structural biology : interpreting 3D protein images -- 9. Soft computing in biclustering -- 10. Bayesian machine-learning methods for tumor classification using gene expression data -- 11. Modeling and analysis of quantitative proteomics data obtained from iTRAQ experiments -- 12. Statistical methods for classifying mass spectrometry database search results.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

"A Chapman & Hall book."

Includes bibliographical references and index.

1. Introduction -- 2. The biology of a living organism -- 3. Probabilistic and model-based learning -- 4. Classification techniques -- 5. Unsupervised learning techniques -- 6. Computational intelligence in bioinformatics -- 7. Connections between machine learning and bioinformatics -- 8. Machine learning in structural biology : interpreting 3D protein images -- 9. Soft computing in biclustering -- 10. Bayesian machine-learning methods for tumor classification using gene expression data -- 11. Modeling and analysis of quantitative proteomics data obtained from iTRAQ experiments -- 12. Statistical methods for classifying mass spectrometry database search results.

Also available in print format.

Mode of access: World Wide Web.

There are no comments on this title.

to post a comment.
Share