Data Mining and Applications in Genomics

by Sio-Iong Ao

Chapter 1. Introduction. 1.1 Data Mining Algorithms. 1.2 Advances in Genomic Techniques. 1.3 Case Studies: Building Data Mining Algorithms for Genomic Applications. Chapter 2. Data Mining Algorithms. 2.1 Dimension Reduction and Transformation Algorithms. 2.2 Machine Learning Algorithms. 2.3 Clustering Algorithms. 2.4 Graph Algorithms. 2.5 Numerical Optimization Algorithms. Chapter 3. Advances in Genomic Experiment Techniques. 3.1 Single Nucleotide...

• Format: Hardcover
• Language: English
• ISBN: 1402089740
• ISBN13: 9781402089749
• Release Date: October 2008
• Publisher: Springer
• Length: 152 Pages
• Weight: 0.91 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"