Bioinformation Discovery

Data to Knowledge in Biology

Nonfiction, Science & Nature, Science, Biological Sciences, Physiology, Computers, Advanced Computing, Computer Science
Cover of the book Bioinformation Discovery by Pandjassarame Kangueane, Springer New York
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Author: Pandjassarame Kangueane ISBN: 9781441905192
Publisher: Springer New York Publication: August 4, 2009
Imprint: Springer Language: English
Author: Pandjassarame Kangueane
ISBN: 9781441905192
Publisher: Springer New York
Publication: August 4, 2009
Imprint: Springer
Language: English

Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.

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