Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to he

part |110 pages

Bioinformatics and Knowledge Discovery

chapter 1|38 pages

Introduction to Bioinformatics

chapter 2|40 pages

Biological Databases and Integration

chapter 3|32 pages

Knowledge Discovery in Databases

part |2 pages

Feature Analysis II

part III|2 pages

Unsupervised Learning

chapter 6|38 pages

Clustering Techniques in Bioinformatics

chapter 7|26 pages

Advanced Clustering Techniques

part IV|2 pages

Supervised Learning and Validation

chapter 9|20 pages

Validation and Benchmarking