Cover for Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications

Book2015

Author:

Zengyou He

Data Mining for Bioinformatics Applications

Book2015

 

Cover for Data Mining for Bioinformatics Applications

Author:

Zengyou He

About the book

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Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including probl ... read full description

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  2. Book chapterAbstract only

    1 - An overview of data mining

    Pages 1-10

  3. Book chapterAbstract only

    2 - Introduction to bioinformatics

    Pages 11-17

  4. Book chapterAbstract only

    3 - Phosphorylation motif discovery

    Pages 19-27

  5. Book chapterAbstract only

    4 - Phosphorylation site prediction

    Pages 29-37

  6. Book chapterAbstract only

    5 - Protein inference in shotgun proteomics

    Pages 39-49

  7. Book chapterAbstract only

    6 - PPI network inference from AP-MS data

    Pages 51-59

  8. Book chapterAbstract only

    7 - Protein complex identification from AP-MS data

    Pages 61-68

  9. Book chapterAbstract only

    8 - Biomarker discovery

    Pages 69-78

  10. Book chapterNo access

    Conclusions

    Pages 79-80

  11. 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

Authors

Zengyou He