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Table of contents
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1 - An overview of data mining
Pages 1-10 - Book chapterAbstract only
2 - Introduction to bioinformatics
Pages 11-17 - Book chapterAbstract only
3 - Phosphorylation motif discovery
Pages 19-27 - Book chapterAbstract only
4 - Phosphorylation site prediction
Pages 29-37 - Book chapterAbstract only
5 - Protein inference in shotgun proteomics
Pages 39-49 - Book chapterAbstract only
6 - PPI network inference from AP-MS data
Pages 51-59 - Book chapterAbstract only
7 - Protein complex identification from AP-MS data
Pages 61-68 - Book chapterAbstract only
8 - Biomarker discovery
Pages 69-78 - Book chapterNo access
Conclusions
Pages 79-80 - Book chapterNo access
Index
Pages 81-83
About the book
Description
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.
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.
Key Features
- Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems
- Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems
- Contains 45 bioinformatics problems that have been investigated in recent research
- Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems
- Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems
- Contains 45 bioinformatics problems that have been investigated in recent research
Details
ISBN
978-0-08-100100-4
Language
English
Published
2015
Copyright
Copyright © 2015 Elsevier Ltd. All rights reserved.
Imprint
Woodhead Publishing