Book review

Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.

Contents: Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural Bioinformatics; Application of Fuzzy Logic in Microarray Data Analyses; Other Applications; Summary and Outlook.

Applications of Fuzzy Logic in Bioinformatics (Series on Advances in Bioinformatics and Computational Biology) (Series on Advances in Bioinformatics and Computational Biology) by James M. Keller

Page Updated:
Book Views: 13

Author
James M. Keller
Publisher
Date of release
Pages
0
ISBN
9781848162587
Binding
Illustrations
Format for Download
PDF, EPUB, MOBI, TXT, DOC
Rating
4
62

Advertising

Get eBOOK
Applications of Fuzzy Logic in Bioinformatics (Series on Advances in Bioinformatics and Computational Biology) (Series on Advances in Bioinformatics and Computational Biology)

Find and Read eBook

Click one of share button to proceed download:
Choose server for download:
Download
Get It!
File size:16 mb
Estimated time:4 min
If not downloading or you getting an error:
  • Try another server.
  • Try to reload page — press F5 on keyboard.
  • Clear browser cache.
  • Clear browser cookies.
  • Try other browser.
  • If you still getting an error — please contact us and we will fix this error ASAP.
Sorry for inconvenience!
For authors or copyright holders
Amazon Affiliate

Go to Removal form

Leave a comment


Readers reviews