Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation.

The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.

Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problemsUses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problemsContains 45 bioinformatics problems that have been investigated in recent research

Chapter 1: An overview of data mining Chapter 2: Introduction to bioinformatics Chapter 3: Phosphorylation motif discovery Chapter 4: Phosphorylation site prediction Chapter 5: Protein inference in shotgun proteomics Chapter 6: Protein-protein interaction network construction from AP-MS data Chapter 7: Protein complex identification from AP-MS data Chapter 8: Biomarker discovery